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io.github.quantumproxies/quanticdata-mcp

REMOTE · API.QUANTICDATA.IO · 3 COMPONENTS

Live web access for agents: scrape, SERP search, crawl/map, 100+ collectors, datasets, proxies.

0 this week 32 Trust /100

Last scanned (11 minutes ago)

Scores higher than 15% of remote servers

Reachable. Last reached 5 Nov 2026.

Category Web Scraping

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security81
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema blocked by authentication: the endpoint requires auth we don't have to read it. See how to fix → Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage blocked by authentication: the endpoint requires auth we don't have to read its tools.Unverified
Tool Safety0
  • Tool safety blocked by authentication: the endpoint requires auth we don't have to read its tools.Unverified
Capabilities0
  • Capabilities blocked by authentication: the endpoint requires auth we don't have to read them. See how to fix → Unverified

Unverified: 6 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm. Claim this server and supply a read-only token to verify it and lift the score.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 30 Sept 26 0
    • Endpoint reachability: reachable → behind authorisation ▼ security
    • Stability: fail → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • Transport: pass → unverified ▼ security
    • Authorization: fail → pass ▲ security
    • First check of Authorization: pass security
    • Tool coverage: 100 → unverified ▼ functional
    • Capabilities: pass → unverified ▼ functional
    • First check of Schema quality: unverified functional
  • 29 Sept 26 0
    • Destructive annotations: pass → 100 functional
    • Server version: 0.9.3 → 0.10.0 functional
    • New tool “report” functional
  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 26 Sept 26 0
    • Server version: 0.9.1 → 0.9.3 functional
    • “search” added an optional parameter “product_ids” cosmetic
    • “search” reworded the description of “product_id” cosmetic
    • “search” reworded the description of “place_id” cosmetic
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 14 Sept 26 0
    • Stability: 0.53 → fail ▼ security
    • Schema quality: 267 → 493 ▼ functional
    • “list_proxies” added a required parameter “context”, so existing callers break ▼ functional
    • “batch” added a required parameter “context”, so existing callers break ▼ functional
    • “batch” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “batch_status” added a required parameter “context”, so existing callers break ▼ functional
    • “batch_status” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “collector_run_status” added a required parameter “context”, so existing callers break ▼ functional
    • “collector_run_status” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “crawl” added a required parameter “context”, so existing callers break ▼ functional
    • “crawl” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “crawl_status” added a required parameter “context”, so existing callers break ▼ functional
    • “crawl_status” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “create_dataset” added a required parameter “context”, so existing callers break ▼ functional
    • “create_dataset” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “dataset_status” added a required parameter “context”, so existing callers break ▼ functional
    • “dataset_status” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “generate_parser” added a required parameter “context”, so existing callers break ▼ functional
    • “generate_parser” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “generate_proxies” added a required parameter “context”, so existing callers break ▼ functional
    • “generate_proxies” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “heal_parser_preset” added a required parameter “context”, so existing callers break ▼ functional
    • “heal_parser_preset” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “list_collectors” added a required parameter “context”, so existing callers break ▼ functional
    • “list_collectors” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “list_parser_presets” added a required parameter “context”, so existing callers break ▼ functional
    • “list_parser_presets” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “list_proxies” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “map” added a required parameter “context”, so existing callers break ▼ functional
    • “map” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “parser_preset_stats” added a required parameter “context”, so existing callers break ▼ functional
    • “parser_preset_stats” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “proxy_locations” added a required parameter “context”, so existing callers break ▼ functional
    • “proxy_locations” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “run_collector” added a required parameter “context”, so existing callers break ▼ functional
    • “run_collector” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “save_parser_preset” added a required parameter “context”, so existing callers break ▼ functional
    • “save_parser_preset” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “scrape” added a required parameter “context”, so existing callers break ▼ functional
    • “scrape” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “search” added a required parameter “context”, so existing callers break ▼ functional
    • “search” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “search_and_read” added a required parameter “context”, so existing callers break ▼ functional
    • “search_and_read” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “search_bulk” added a required parameter “context”, so existing callers break ▼ functional
    • “search_bulk” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “search_bulk_status” added a required parameter “context”, so existing callers break ▼ functional
    • “search_bulk_status” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “seo_audit” added a required parameter “context”, so existing callers break ▼ functional
    • “seo_audit” added a required parameter “llm_model”, so existing callers break ▼ functional
    • “whitelist_ip” added a required parameter “context”, so existing callers break ▼ functional
    • “whitelist_ip” added a required parameter “llm_model”, so existing callers break ▼ functional
    • Server version: 0.9.0 → 0.9.1 functional
    • New tool “ai_visibility” functional
  • 29 Aug 26 0
    • Stability: unverified → 0.03 ▲ functional
  • 28 Aug 26 0

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Probed https://api.quanticdata.io/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=quanticdata.io CN=WE1,O=Google Trust Services,C=US 22 Sept 2026 21 Dec 2026 ECDSA 256 ECDSA-SHA256 e820827ed2d8b44b0e2be92e7a6c486f
SANs: quanticdata.io, *.quanticdata.io
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of api.quanticdata.io. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
io. present 38690 8 Verified
quanticdata.io. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Enforced and verified

The endpoint asked for a token and published valid RFC 9728 metadata describing how to get one.

Result Enforced and verified
Enforced On connection
HTTP status 401

WWW-Authenticate challenge Bearer resource_metadata="https://api.quanticdata.io/.well-known/oauth-protected-resource/mcp", scope="mcp"

Bearer resource_metadata="https://api.quanticdata.io/.well-known/oauth-protected-resource/mcp", scope="mcp"
Header Value
www-authenticate Bearer resource_metadata="https://api.quanticdata.io/.well-known/oauth-protected-resource/mcp", scope="mcp"

Protected resource metadata

Document https://api.quanticdata.io/.well-known/oauth-protected-resource/mcp
Retrieved Yes
Resource https://api.quanticdata.io/mcp
Authorisation server https://app.quanticdata.io

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://api.quanticdata.io/mcp Auth required 401
http (plaintext) http://api.quanticdata.io/mcp Inconclusive 405
MCP tools · 27 exposed · ~13,585 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
ai_visibility ~988

Audit whether AI assistants (ChatGPT, Claude, Perplexity, Google AI Overview, Bing Copilot) can read and cite a page, and optionally ask them. On-page pass (always): the live robots.txt resolved for 24 AI crawlers per RFC 9309 with the deciding line, Content-Signal, a fetch that identifies as GPTBot to catch WAFs filtering on user-agent, noindex/nosnippet/noai/data-nosnippet, text present without JavaScript, JSON-LD types and resolvable Organization/Person entities, heading outline, question-shaped headings, answer-first paragraph, lists/tables, numeric facts and quotes, chunk-sized sections, dateModified with age, author, outbound sources. Also readability grade, paragraph length, definitional openers, named-entity density, keyword stuffing, first-hand content, images/video, paywall and retired robots tokens. Retrievability first: where Google ranks the page for its own H1 question and whether it is indexed (2 SERPs) — a page that is not retrievable is not cited whatever its on-page score. Google AI Overview and Bing Copilot report brand MENTIONS only: their no-JS SERP exposes no sources. Returns a 0-100 score per pillar (retrievability, access, readability, structure, answerability, trust, plus offsite when requested), blockers that cap the score, every check with evidence and fix, and topFixes. Citation panel (when `queries` is set): asks each engine, reports cited / mentioned / rank per (query × engine), share of voice across all cited domains, and the domains winning the questions where the page is absent. Use this instead of seo_audit when the question is AI answers rather than Google rankings.

NameTypeReqDescription
brandstring–Brand name to look for in the answer text ('mentioned' even when not cited). Defaults to the page's og:site_name / Organization name.
competitorsarray–Competitor domains to flag in the share of voice, e.g. ['brightdata.com']
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code for the proxy exit, e.g. 'us' — also the locale of the AI Overview / Copilot SERP
enginesarray–Engines to ask (default: all). aio = Google AI Overview read from a live SERP, copilot = Bing's generative answer, openai/anthropic = the vendors' APIs with web search (an approximation of ChatGPT/Cl…
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
no_bot_fetchboolean–Skip the extra request that identifies itself as GPTBot
no_renderboolean–Skip the rendered pass (cheaper — the two JS-parity checks are reported as skipped)
no_retrievalboolean–Skip the retrievability probe (2 SERPs: Google rank of the page for its own H1 question, and whether it is indexed). On by default — it is the strongest single predictor of citation and a blocker whe…
offsiteboolean–Also measure the brand OFF the page with five searches ("brand" site:youtube.com / reddit.com / wikipedia.org / linkedin.com / review sites) — the signals studies rank above anything on-page for whet…
queriesarray–Questions to ask the AI engines (max 10). Omit for the on-page audit only — each (query × engine) pair is a billed engine call.
urlstringyesThe page URL to audit

No output schema declared.

No examples provided.

batch ~359

Scrape many URLs asynchronously with shared options. Returns a job id — poll with batch_status. For SEO/status audits over many pages set mode 'summary': items carry metadata only (title, description, canonical, contentLength) instead of full page content.

NameTypeReqDescription
content_modestring–Per-URL content scope: smart (default) | article | full
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code for the proxy exit
enginestring–Fetch engine (default auto)
formatstring–Output format (default markdown)
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
modestring–summary: per-URL metadata only, no page content — the light mode for audits
urlsarrayyesURLs to scrape

No output schema declared.

No examples provided.

batch_status ~333

Poll a batch job for progress and per-URL results. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only the items completed after your last poll. Items omit page content by default — set include_content true only when you actually need the text.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
include_contentboolean–Include each item's full page content (default false — metadata only)
jobIdstringyesThe batch job id returned by batch
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
sinceinteger–Item cursor from the previous poll's `nextCursor` — returns only newer items

No output schema declared.

No examples provided.

collector_run_status ~303

Fetch a Collector run by run_id: status (queued|running|done|failed), result count, cost, partial flag and the result rows. Use after run_collector returned 202/async. Pass format 'csv' to get the rows as CSV text.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
formatstring–Return rows as JSON (default) or CSV text
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
run_idstringyesThe run id returned by run_collector

No output schema declared.

No examples provided.

crawl ~342

Start an asynchronous BFS crawl of a site from a seed URL, converting each page to Markdown. Returns a job id — poll with crawl_status.

NameTypeReqDescription
content_modestring–Per-page content scope: smart (default) | article | full
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code for the proxy exit
depthinteger–Max link depth (default 3)
excludearray–URL substrings/globs to exclude
includearray–URL substrings/globs to include
limitinteger–Max pages (default 50)
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
urlstringyesSeed URL

No output schema declared.

No examples provided.

crawl_status ~348

Poll a crawl job for progress and the pages crawled so far. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only the pages crawled since your last poll. Pages omit their content by default — set include_content true only when you actually need the text (a large crawl's full content can be hundreds of KB).

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
include_contentboolean–Include each page's full content (default false — metadata only)
jobIdstringyesThe crawl job id returned by crawl
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
sinceinteger–Page cursor from the previous poll's `nextCursor` — returns only newer pages

No output schema declared.

No examples provided.

create_dataset ~402

Build a structured dataset from a plain-language prompt. Quantic AI plans the search queries, searches Google/Bing/DuckDuckGo, maps the sites it finds and scrapes them into validated rows (CSV/JSON). Returns a job id — poll with dataset_status. Billed per delivered, validated record (email/phone fields cost extra, only when found); the run never exceeds limits.max_cost_usd, and the unspent budget is refunded.

NameTypeReqDescription
columnsarray–Columns to extract; omit to let the planner infer them
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code for the proxy exit geo
limitsobject––
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
promptstringyesWhat dataset you want, in plain language (e.g. 'coffee roasters in Portland with email and phone')
sourcesobject–Domain allow/deny lists
webhookstring–Public URL to POST the finished dataset to

No output schema declared.

No examples provided.

dataset_status ~350

Poll a dataset job for progress, the collection trace (steps) and the rows so far. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only rows delivered after your last poll. Set mode 'summary' to omit rows and get only progress + steps (light poll). When status is completed, the response includes signed CSV/JSON download URLs.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
jobIdstringyesThe dataset job id returned by create_dataset
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
modestring–summary: progress + steps only, no rows
sinceinteger–Row cursor from the previous poll's `nextCursor` — returns only newer rows

No output schema declared.

No examples provided.

generate_parser ~472

Look at a page ONCE with an LLM and get back CSS selectors that extract the fields you asked for. Pass the returned `parser` as the `extract` argument on every later scrape of that same layout and no AI runs again — it becomes a plain, free, deterministic extraction. Use this instead of ai_prompt whenever you will scrape more than a couple of pages of the same shape. Every selector is run against the page before being returned, so `report`/`coverage` tell you which fields are actually reliable.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code for the proxy exit
fieldsobject–What to extract, as { field_name: "plain-English description" } — e.g. { "price": "the product price", "specs": "every spec bullet, as a list" }. Max 25.
htmlstring–Markup you already have, instead of fetching a URL (no proxy bandwidth used)
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
promptstring–Free-text alternative to `fields` — the model picks and names the fields itself
renderboolean–Learn from the browser-rendered DOM instead of the raw HTML (needed for SPA pages)
urlstring–The page to learn the layout from

No output schema declared.

No examples provided.

generate_proxies ~670

Generate ready-to-use proxy endpoint strings (credentials included) from one of the account's active proxy services — any type: residential, mobile, datacenter, ISP, IPv6. Supports geo targeting (country/state/city, ISP or ASN where the plan allows it), rotating or sticky sessions, HTTP or SOCKS5, and several output formats. Use list_proxies first to get the orderId, and proxy_locations for valid targeting codes. The returned strings plug straight into any HTTP client, e.g. curl -x.

NameTypeReqDescription
asnstring–ASN for Residential/Datacenter Basic targeting, e.g. 'AS12345'
citystring–City (slug from proxy_locations where applicable; 'all' for any)
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–Country code for geo targeting, lowercase, e.g. 'us'
filterstring–Residential Premium / Mobile V2 pool filter (omit for the full pool)
formatstring–Output string format (default user:pass@host:port)
gatewaystring–Mobile V2 region gateway (default ww)
ipstring–Mobile V2 only: a whitelisted IP (see whitelist_ip) to fetch the IP-auth proxy list instead of user:pass proxies
ispstring–ISP code for Residential Premium / Mobile V2 targeting (from proxy_locations tree, e.g. 'tmobile')
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
orderIdstringyesThe proxy service's orderId (from list_proxies)
protocolstring–Proxy protocol (default http)
quantityinteger–Number of proxy strings (default 10)
rotationstring–rotating (default): new IP per request. sticky: keep the IP for sessionTime. static: IPv6 only, fixed session with no TTL.
sessionTimeinteger–Sticky session duration in minutes (default 10; Residential Basic/Datacenter minimum 3)
statestring–State/region (Residential Premium & Mobile V2: use the slug from proxy_locations; 'all' for any)
strictboolean–Residential/Datacenter Basic: true allows fallback to nearby locations when the exact target has no IPs

No output schema declared.

No examples provided.

heal_parser_preset ~292

Regenerate a preset's selectors now (the manual trigger for the automatic repair). Refetches the source page and adopts new selectors ONLY if they extract more than the current ones — a heal that finds nothing better leaves the preset untouched and is not billed.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
forceboolean–Bypass the cooldown between heals
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
preset_idstringyesThe preset id

No output schema declared.

No examples provided.

list_collectors ~611

List the ready-made Collectors: paid, versioned scrapers you run with a semantic input (keyword + location, place id, product id, domain…) instead of URLs — e.g. web_search, search_images, search_videos, keyword_ideas, amazon_search, amazon_product, ebay_search, aliexpress_search, linkedin_jobs, indeed_jobs, reddit_posts, youtube_search, youtube_channel, instagram_profile, tiktok_profile, tiktok_video, linkedin_profile, linkedin_company, zillow_search, zillow_property, app_store_apps, app_store_reviews, google_play_apps, google_maps_places, place_reviews, google_jobs, google_news, google_shopping, product_offers, hotels, google_flights, google_events, google_trends, google_autocomplete, google_lens, youtube_video, ebay_product, flipkart_search, idealista_search, kleinanzeigen_search, autotrader_search, github_repos, hacker_news, coingecko_coins, wikipedia_articles, yahoo_finance, stackoverflow, steam, npm_packages, sec_filings, defillama, wayback_machine, clinical_trials, certificate_transparency, wikidata, nvd_cve, openfda, openalex, pypi_packages, exchange_rates, gleif_lei, docker_hub, crates_io, world_bank, openlibrary_books, arxiv_papers, weather_forecast, whois_domain, dns_records, itunes_search, local_business_leads, site_contacts, company_profile, business_directory. Returns each collector's slug, input/output schema, example input, price per delivered result and current health. Billing is pay-per-success: only delivered rows are charged.

NameTypeReqDescription
categorystring–Optional category filter (e.g. 'local', 'ecommerce', 'jobs', 'news', 'travel', 'leads', 'finance', 'dev', 'gaming', 'osint', 'research', 'classifieds', 'knowledge')
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…

No output schema declared.

No examples provided.

list_parser_presets ~232

List your stored parser presets with their version, health stats and changelog.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…

No output schema declared.

No examples provided.

list_proxies ~354

List the account's proxy services of every type — Residential Basic/Premium/Private, Mobile, Mobile V2, Datacenter (static or traffic-based), ISP, IPv6 — with plan type, bandwidth left, expiry, whitelisted IPs and the orderId to pass to generate_proxies. Call this first to see which proxy plans are available.

NameTypeReqDescription
activeboolean–true: only non-expired services (recommended). false: only expired. Omit for all.
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
limitinteger–Max services returned (default 50)
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
offsetinteger–Pagination offset (default 0)
planTypestring–Only services of this plan type

No output schema declared.

No examples provided.

map ~421

Discover a site's URLs fast (robots.txt sitemaps + /sitemap.xml + homepage links) without a full crawl. Returns up to `limit` URLs (default 100) plus the site-wide `total` and a per-section `summary` (e.g. '/blog': 1988) so you see the site's shape without the full list. Narrow with `search` (substring filter — the primary way to find specific pages) or set group_by 'path' for the path tree with counts instead of URLs.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
group_bystring–path: return the path tree with per-prefix counts instead of the flat URL list
includeSubdomainsboolean–Include subdomains of the seed host
limitinteger–Max URLs returned (default 100). `total`/`summary` always cover the whole site.
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
searchstring–Only return URLs containing this substring — use this to narrow before raising limit
urlstringyesThe site URL to map

No output schema declared.

No examples provided.

parser_preset_stats ~272

How well a stored parser is still working: success rate per field, mean coverage over the recent runs, and whether it now counts as decayed (i.e. the site probably changed).

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
preset_idstringyesThe preset id returned by save_parser_preset

No output schema declared.

No examples provided.

proxy_locations ~390

Discover valid geo-targeting values for a proxy plan type before calling generate_proxies: countries, states, cities, ASNs, or the full location tree (countries → regions → cities → ISPs). Use level 'tree' for Residential Premium / Mobile V2 slugs and ISP codes, or for the static datacenter gateway list; note the tree can be large.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–Country code, required for states/cities, optional filter for asns
levelstring–countries (default) | states (needs country) | cities (needs country) | asns | tree (full location tree: residentialpremium, mobile/mobile_v2, datacenter)
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
planTypestringyesThe plan type to look up (same value as list_proxies planType)
statestring–Cities only: filter by state

No output schema declared.

No examples provided.

report ~589

Send feedback to the QuanticData team: a bug (a result that is wrong or empty after a retry, a broken parser, a blocked page that should work), a missing tool, site, option or collector, or a question about behaviour or pricing. Works WITHOUT an API key. Call it when a tool clearly failed at its job, when the user needs something no tool here covers, or when the user asks you to report something. Do NOT call it for a missing, rejected or unset API key, for the no-key trial or the balance being used up, for a network timeout, or for your own wrong input: those are fixed by the user, not by the team, and the tool that failed already told you how. One report per issue, never one per retry. Every report is read by the people who build the product.

NameTypeReqDescription
actualstring–What actually came back (error text, empty payload, wrong fields…). Trim page content; a short excerpt is enough.
contactstring–Optional email or handle to follow up on — ask the user before sending it; never send it unasked.
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
expectedstring–What the user needed to get back
kindstringyesbug: something returned wrong/empty/errored. feature: a missing tool, option, site or collector. question: unclear behaviour or pricing. other: anything else.
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
messagestringyesWhat happened or what is missing, in plain words. Include the URL/query/collector involved when there is one.
toolstring–Name of the tool involved, e.g. 'scrape' or 'run_collector' (omit for general feedback)
tool_inputobject–The arguments passed to the failing tool, so the team can reproduce it. Leave out cookies, credentials and anything private.

No output schema declared.

No examples provided.

run_collector ~362

Run a Collector by slug with a semantic input (see list_collectors for each collector's inputSchema and example). Short runs return the rows inline; long runs return 202 with a run_id + statusUrl — poll with collector_run_status. Results are billed per delivered row (never for failures). Set `async` true to force background execution.

NameTypeReqDescription
asyncboolean–Force background execution and return a run_id to poll
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
inputobjectyesInput fields matching the collector's inputSchema (e.g. { keyword: 'dentist', location: 'Austin, TX', max_results: 20 })
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
slugstringyesCollector slug from list_collectors, e.g. 'google_maps_places'

No output schema declared.

No examples provided.

save_parser_preset ~427

Store a generated parser under a name so it can be reused by id. Scrape later with scrape's `preset_id` instead of repeating the selectors, and every run is scored per field — when the recent success rate decays (the site redesigned), the preset regenerates itself from `source_url` and bumps a version. Give it a source_url whenever you can: without one it can never self-heal.

NameTypeReqDescription
auto_healboolean–Regenerate automatically on decay (default true when source_url is set)
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
fieldsobject–The original field descriptions, so a self-heal regenerates the same shape
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
namestringyesA name you'll recognise, e.g. 'amazon product page'
parserobjectyesThe parser to store — normally the `parser` object returned by generate_parser
renderboolean–The page needs a browser render to show its content
source_urlstring–Page to relearn from when the parser decays — required for self-healing

No output schema declared.

No examples provided.

scrape ~1,681

Scrape a single web page through a residential proxy and return it as clean Markdown (or HTML/text). Uses a real Chrome TLS fingerprint by default and only spins up a headless browser if the page is bot-challenged. Optionally run structured extraction (CSS selectors) or AI extraction (natural-language prompt). Markdown keeps the complete page by default (content_mode 'smart': everything except nav/footer/cookie chrome, with GFM tables and absolutized links); to inspect a page's raw no-JS/SEO fallback use format 'html'.

NameTypeReqDescription
actionsarray–Ordered browser interactions before capture (forces a render). Each is one object: {"click":"#sel"}, {"clickText":"Accept"} (click by visible text — dismiss a consent wall without knowing its CSS), {…
ai_promptstring–Natural-language instruction — the LLM turns the page into structured JSON
ai_schemaobject–JSON Schema for deterministic AI extraction; returned under payload.ai.data
app_state––Mine the page's own hydration state (Next.js __NEXT_DATA__, Nuxt, embedded JSON islands) into payload.metadata.appState. This is where SPAs keep the real data — prices behind a picker, stock, downloa…
chunkobject–Segment the output into payload.chunks[] for RAG/vector-DB ingestion — each chunk carries its heading path and token count. Fences and tables are never split.
content_modestring–smart (default): whole page minus nav/footer/cookie chrome. article: Readability main article only (news/blogs). full: entire body as-is.
content_modesarray–Return several content scopes from ONE fetch under payload.contents (e.g. compare smart vs full)
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
cookiesobject–Cookies to send as name→value — the simple way to scrape behind a login
countrystring–ISO country code for the proxy exit, e.g. 'us'
enginestring–auto (default): TLS tier, escalate to browser on block. tls: never escalate — exactly what a pure HTTP bot (no JS) sees, right for SEO checks. render: force browser.
extractobject–Structured-extraction schema: { field: "css selector" | { selector, attr, all, fns } }. `fns` is a transform pipeline run on the value — e.g. { "price": { "selector": ".price", "fns": ["amount_from_s…
fetch_resourcestring–Regex matched against the page's network requests: the first matching response's BODY becomes the result instead of the page HTML (e.g. '/api/products' to get an SPA's JSON directly). Forces a render…
formatstring–Output format (default markdown)
formatsarray–Additional formats to return together in payload.formats, e.g. ['markdown','text']
frontmatterboolean–Prepend YAML front-matter (title, url, canonical, description, author, date) so the markdown is self-contained for RAG/Obsidian pipelines
highlightsinteger–With `query`: also return the N most relevant passages in payload.highlights
htmlstring–Convert HTML you already have instead of fetching: no proxy bandwidth is used, and the full parser pipeline still applies. Pass `url` too if you want relative links absolutized.
images_modestring–inline (default) keeps ![alt](url); 'alt' keeps only alt text; 'strip' removes images
include_linksboolean–Return all de-duplicated absolute page links in payload.links
links_modestring–Link rendering. inline (default): [text](url). footnote: URLs moved to a numbered reference list at the end. strip: keep only the link text — cuts 30-48% of the tokens on link-dense pages when you on…
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
max_tokensinteger–Cap the markdown at ~this many tokens, cutting at a section boundary (never inside a table or code block) and noting how much was omitted
modestring–summary: return only metadata (title, description, canonical, contentLength, status, engine, bytes) with no page content — use this when auditing pages instead of reading them
parserobject–Your own parsing rules, as CSS selector lists — use these when you know the page and don't want to rely on heuristics. include: keep ONLY these subtrees (targeted extraction, e.g. ['article.post']).…
preset_idstring–Run a stored parser preset (see save_parser_preset) instead of passing `extract` selectors. Results land in payload.data exactly the same way, and the run is scored so the preset can detect decay and…
querystring–What you are looking for on the page. Keeps only the relevant sections (BM25 scoring over blocks, headings preserved) — the way to read one fact off a huge page without spending its whole token budge…
renderboolean–Force the headless browser (JS execution)
reveal_hiddenboolean–Render tier only: before capturing, open <details>/accordions and click through every tab, appending each revealed panel to the page. Use it for tabbed code samples or spec accordions where a plain r…
summary_sectionsboolean–Append 'Links on this page' / 'Images on this page' sections — handy when deciding the next hop
tocboolean–Prepend a table of contents built from the page headings
urlstring–The page URL to scrape (optional only when you pass `html` to convert)
xhrboolean–Record the page's XHR/fetch traffic (URL, method, status, response body) into payload.xhr. Forces a browser render. An SPA's own JSON API is usually far cleaner than its DOM — use this to DISCOVER th…

No output schema declared.

No examples provided.

search ~1,362

Run structured Google, Bing or DuckDuckGo searches through a residential proxy. Bing supports web, shopping, images, news, videos, places/maps and autocomplete over HTTP, including Copilot AI answers and citations when Bing returns them. Google web search also parses rich blocks directly from its HTTP response.

NameTypeReqDescription
accommodation_typestring–Hotels: property kind (default hotels)
adultsinteger–Hotels: number of adults
arrival_idstring–Flights: arrival airport IATA code, e.g. 'LAX'
browserstring–TLS/browser identity for the fetch path
check_in_datestring–Hotels: check-in date YYYY-MM-DD
check_out_datestring–Hotels: check-out date YYYY-MM-DD
children_agesarray–Hotels: children's ages, e.g. [5, 7]
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code, e.g. 'us'
currencystring–Hotels/Flights: price currency, e.g. 'EUR'
data_idstring–Maps data id, hex fid '0x…:0x…' (from maps/place_details results) — required for reviews
departure_idstring–Flights: departure airport IATA code, e.g. 'JFK'
devicestring–SERP device shape (default desktop)
enginestring–Search engine (default google)
exact_matchesboolean–Lens: return the exact-matches tab (pages using this exact image) instead of visual matches
filterstring–Reviews: only reviews whose text contains this keyword
free_cancellationboolean–Hotels: only offers with free cancellation
google_paramsobject–Additional Google query parameters not modeled above
gps_coordinatesstring–Maps: center the search on 'lat,lon' or 'lat,lon,zoom' (zoom 3-21)
image_urlstring–Lens: publicly reachable image URL to reverse-search
langstring–Search UI language, e.g. 'en' or 'it'
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
locationstring–Search from this location, e.g. 'Milan, Italy' (encoded to Google's uule server-side)
next_page_tokenstring–Reviews: continuation token from the previous response's serpapi_pagination
nfprboolean–Disable Google spelling correction
numinteger–How many organic results to aim for (default 10, max 100). Google serves ~10 per page, so a larger num is satisfied by fetching consecutive pages and merging them — it is NOT ignored. `search_metadat…
outbound_datestring–Flights: outbound date YYYY-MM-DD
pageinteger–Result page, 1-based (default 1). The response's pagination.available_pages lists which pages exist; use search_bulk to fetch many pages at once.
place_idstring–Google Maps place id for place_details — the hex '0x…:0x…' fid from maps/places results, a 'ChIJ…' place id or a numeric cid all work; served from Maps' place card over HTTP (name, address, phone, we…
product_idstring–Google Shopping product id (the product_id of a shopping result — the rendered grid carries it) for search_type=product: the seller list with price, old price, discount, stock and delivery per mercha…
product_idsboolean–shopping only: render the Shopping grid so each result carries product_id/offer_id (the input of search_type=product). Costs a render; the default no-JS shopping page has no ids.
querystring–The search query (optional for place_details/product/flights/lens/reviews, which are ID/URL-addressed)
renderboolean–Force browser rendering where supported; Google/Bing web search rich blocks are parsed over HTTP
return_datestring–Flights: return date YYYY-MM-DD (omit for one-way)
safestring–Google SafeSearch setting
search_typestring–Vertical (default search). Bing supports shopping/images/news/videos/places/maps/autocomplete. Google additionally supports scholar/jobs/place_details/hotels/flights/events/product/lens/reviews; maps…
sort_bystring–Reviews: sort order (default relevance)
startinteger–Result offset alias (0, 10, 20…)
timeframestring–Trends only: Google timeframe token — 'today 12-m' (default), 'now 7-d', or an explicit 'YYYY-MM-DD YYYY-MM-DD' range
uulestring–Geo token: encoded uule, or raw coordinates 'lat,lon' / 'lat,lon,radius_m' (encoded server-side)
wait_forstring–Rendered path: wait for this CSS selector before parsing late panels

No output schema declared.

No examples provided.

search_and_read ~395

Search the live web, fetch the top organic pages as clean Markdown, and return citation-ready numbered sources plus one token-bounded `context` string ready for an AI prompt. Use this when the goal is answering/researching, and use `search` when raw SERP structure or a specialized vertical is needed.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code for search and proxy geo
enginestring–Search engine (default google)
fetch_contentboolean–False returns snippet-only context without fetching result pages
langstring–Search UI language, e.g. 'en' or 'it'
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
max_tokensinteger–Maximum estimated tokens in the assembled context (default 8000)
querystringyesThe research/search query
top_ninteger–Top organic pages to fetch (default 3, max 5)

No output schema declared.

No examples provided.

search_bulk ~503

Paginate ONE search query asynchronously and merge deduplicated organic results. Page-one AI Overview/PAA/Knowledge Graph/answer enrichments are retained; set render:true to request those Google JS blocks. Billed per page actually fetched, with unavailable pages refunded.

NameTypeReqDescription
browserstring–Fetch-path browser identity
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code, e.g. 'us'
devicestring–SERP device shape
enginestring–Search engine (default google)
google_paramsobject–Additional Google query parameters
langstring–UI language, e.g. 'en'
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
locationstring–Search location, e.g. 'Milan, Italy'
max_pagesinteger–Max pages to fetch (1-10, default 5). Stops early when Google has no more pages.
nfprboolean–Disable Google spelling correction
querystringyesThe search query to paginate
renderboolean–Force rendering to capture page-one Google JS enrichments
safestring–Google SafeSearch setting
search_typestring–Vertical to paginate (default search)
uulestring–Encoded geo token or raw coordinates
wait_forstring–Rendered path CSS selector for late panels
webhookstring–Public URL to POST the finished job to

No output schema declared.

No examples provided.

search_bulk_status ~298

Poll a bulk search job for progress and merged organic results. Polls are incremental: pass the previous response's `nextCursor` as `since` to receive only the organic results gathered after your last poll.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
jobIdstringyesThe bulk search job id returned by search_bulk
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
sinceinteger–Organic cursor from the previous poll's `nextCursor` — returns only newer results

No output schema declared.

No examples provided.

seo_audit ~364

Audit a URL's SEO in one call: fetches it twice — as a pure HTTP bot (no JS) and fully rendered — and returns both views (title, description, canonical, h1, word count) plus the diff (JS-only content, changed title/description, canonical missing without JS) and bot-facing meta (robots, Open Graph, JSON-LD types). Use this instead of scraping manually when checking how a page indexes.

NameTypeReqDescription
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–ISO country code for the proxy exit, e.g. 'us'
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
no_renderboolean–Skip the rendered pass (cheaper — returns the no-JS view only, no diff)
urlstringyesThe page URL to audit

No output schema declared.

No examples provided.

whitelist_ip ~465

Manage IP-auth whitelisting on a proxy service (Residential Basic, Datacenter, ISP, IPv6, Mobile): add or remove an IP, or list the current entries. A whitelisted machine uses the proxies without username/password — required for the Mobile V2 IP-auth proxy list. Residential Premium/Private use user:pass auth and don't need this.

NameTypeReqDescription
actionstringyesWhat to do with the order's whitelist
citystring–Mobile add: city slug
contextstringyesExplain in 15-25 words, in third person, why this tool is called and how it supports the user's goal. For analytics only. You MUST describe only the abstract purpose of the tool call. NEVER include,…
countrystring–Mobile add: geo targeting for the ports, e.g. 'us'
ipstring–The IP to add/remove (required for add and remove)
ispstring–Mobile add: ISP code, e.g. 'tmobile'
llm_modelstringyesThe exact model identifier you (the assistant) are running as, taken from your system prompt or environment (e.g. "claude-opus-4-8", "gpt-5.2"). Used for analytics only. If you do not know your model…
orderIdstringyesThe proxy service's orderId (from list_proxies)
ports_countinteger–Mobile add: number of ports to allocate
protocolstring–Mobile add: protocol for the allocated ports
regionstring–Mobile add: region slug
stickyboolean–Mobile add: keep the same IP per port
ttlinteger–Mobile add: sticky session TTL in seconds

No output schema declared.

No examples provided.

Install

How do I install the io.github.quantumproxies/quanticdata-mcp server?

io.github.quantumproxies/quanticdata-mcp is a hosted endpoint at https://api.quanticdata.io/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · api.quanticdata.io

# add to Claude Code
claude mcp add --transport http quantumproxies-quanticdata-mcp 'https://api.quanticdata.io/mcp'
Common questions

What is the io.github.quantumproxies/quanticdata-mcp server?

io.github.quantumproxies/quanticdata-mcp is listed in the public MCP registry as io.github.quantumproxies/quanticdata-mcp. Live web access for agents: scrape, SERP search, crawl/map, 100+ collectors, datasets, proxies. This page covers its hosted endpoint (https://api.quanticdata.io/mcp).

Is the io.github.quantumproxies/quanticdata-mcp server safe to use?

io.github.quantumproxies/quanticdata-mcp scores 32 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.quantumproxies/quanticdata-mcp server expose?

io.github.quantumproxies/quanticdata-mcp exposes 27 tools: scrape, generate_parser, save_parser_preset, list_parser_presets, parser_preset_stats, and 22 more. Their descriptions and schemas cost roughly 13,585 tokens of context every time the server is loaded.

Does the io.github.quantumproxies/quanticdata-mcp server require authentication?

Yes. io.github.quantumproxies/quanticdata-mcp asked us for credentials when we connected, so you will need to authorise it in your MCP client before it can do anything.

Is the io.github.quantumproxies/quanticdata-mcp server still maintained?

io.github.quantumproxies/quanticdata-mcp is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.