NeuralVerge
NPM · NEURALVERGE-MCP-SERVER · 2 COMPONENTS
Structured, cited, real-world data from 300+ sources and the open web for your AI agents.
Available components
Last scanned (16 hours ago)
Scores higher than 40% of npm servers
Category Search and Retrieval
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 93 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 1 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability69
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 42653 tokens (~124/item across 342 items; 342 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
- Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage98
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 95% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 342 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 342 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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.
- 22 Oct 26 69
First indexed and scored.
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 23 Oct 2026 · Analysed npm/neuralverge-mcp-server@1.0.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 93 packages
| Packages resolved | 93 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
run_cz_companies ~98
Get one company from the Czech Republic commercial register (Justice.cz) by registration number (IČO, 8 digits) or registry URL: name, status, registration date, address and court file number. Also returns legal form, business scope, share capital, officers, shareholders and branches. 5 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | IČO or registry URL. e.g. 45274649 |
No output schema declared.
No examples provided.
run_cz_companies_search ~110
Search the Czech Republic commercial register (Justice.cz) by company name: name, registration number (IČO), status, address and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Company name. e.g. škoda auto |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| status | string | – | Status. Options: active = Active, inactive = Inactive / dissolved |
No output schema declared.
No examples provided.
run_cz_company_filings ~117
List the documents filed in the Czech Republic Collection of Documents (Sbírka listin, Justice.cz) for one company, by IČO or registry URL, newest first: document number, type, description, period, filing dates, pages and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | IČO or registry URL. e.g. 00177041 |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_dealroom_companies ~98
Get one company from Dealroom by slug or URL: tagline, HQ, founding year, sector, tier, valuation / revenue / headcount ranges, investors by round, ownership, funding events, alumni founders, footprint and investments. Dealroom shows ranges, not exact values, without a login. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Company slug or Dealroom URL. e.g. revolut |
No output schema declared.
No examples provided.
run_dealroom_companies_search ~339
Search Dealroom companies by keyword and/or tier, sector and country: name, tier, sector, HQ, founding year, numeric valuation and range, logo and link. At least one of keyword / tier / sector / country is required. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | Country. e.g. Germany |
| keyword | string | – | Keyword. e.g. revolut |
| max_items | integer | – | Max items (up to 250) |
| sector | string | – | Sector. Options: Fintech = Fintech, Biotech & Life Sciences = Biotech & Life Sciences, eCommerce & Marketplaces = eCommerce & Marketplaces, Health Tech & Medtech = Health Tech & Medtech, Other B2B So… |
| sort | string | – | Sort by. Options: valuation = Valuation, alphabetical = Alphabetical, founded = Founding year |
| start_page | integer | – | Starting page (60 per page) |
| tier | string | – | Tier. Options: Centicorn = Centicorn, Colt = Colt, Decacorn = Decacorn, Gigacorn = Gigacorn, Listed = Listed, Mag 7 = Mag 7, Thoroughbred = Thoroughbred, Titan = Titan, Unicorn = Unicorn |
No output schema declared.
No examples provided.
run_dealroom_investors ~84
Get one investor from Dealroom by slug or URL: type, HQ, rank, portfolio / unicorn / investment counts, links, biggest holdings, exits, portfolio analysis, market map, similar investors and key people. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| investor | string | yes | Investor slug or Dealroom URL. e.g. 500-global |
No output schema declared.
No examples provided.
run_dealroom_investors_search ~215
Search the Dealroom investor index by name keyword, type and country, ordered by Dealroom rank: name, type, country, HQ, portfolio companies, rank and link. With no filters it returns the top of the index. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | Country. e.g. France |
| keyword | string | – | Keyword. e.g. capital |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| type | string | – | Investor type. Options: Venture Capital = Venture Capital, Pension institution = Pension institution, Corporate = Corporate, Angel = Angel, Private Equity = Private Equity, Government = Government, F… |
No output schema declared.
No examples provided.
run_dk_companies ~69
Get one company from the Denmark registry (CVR) by registration number or registry URL: name, status, registration date, address and legal form. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Registration number or registry URL. e.g. 24256790 |
No output schema declared.
No examples provided.
run_dk_companies_search ~105
Search the Denmark company registry (CVR) by company name: name, registration number, status, address and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Company name. e.g. novo nordisk |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| status | string | – | Status. Options: active = Active, inactive = Inactive / dissolved |
No output schema declared.
No examples provided.
run_dk_company_filings ~87
Annual reports, announcements and registrations of one Danish company (CVR): date, type, description and document links. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Registration number or registry URL. e.g. 24256790 |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_ebay_category ~37
Get the full eBay browse category tree: every department, category, and subcategory. Flat 5 points per successful run.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
run_ebay_item ~60
Get full eBay listing details by item ID: title, price, condition, images, and seller. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| item | string | yes | Item ID or URL. e.g. 336776720041 |
No output schema declared.
No examples provided.
run_ebay_item_search ~215
Search active eBay listings by keyword: title, price, condition, and seller summary. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| buying_format | string | – | Buying format. Options: auction = Auction, buy_it_now = Buy It Now |
| category_id | string | – | Category ID. e.g. 58058 |
| condition | string | – | Condition. Options: new = New, open_box = Open box, used = Used, parts = For parts / not working |
| keyword | string | yes | Search term. e.g. wireless mouse |
| max_items | integer | – | Max items (up to 500) |
| max_price | number | – | Max price |
| min_price | number | – | Min price |
| sort | string | – | Sort by. Options: ending_soonest = Ending soonest, newly_listed = Newly listed, price_low = Price: low to high, price_high = Price: high to low |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_ebay_product ~61
Get eBay catalog product details by ePID: brand, model, rating, price range, and specs. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| product | string | yes | ePID or URL. e.g. 1234567890 |
No output schema declared.
No examples provided.
run_ebay_product_reviews ~84
Get buyer reviews for an eBay catalog product by ePID: rating, text, and author. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| max_items | integer | – | Max items (up to 500) |
| product | string | yes | ePID or URL. e.g. 1234567890 |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_ebay_seller ~56
Get an eBay seller/store profile by username: feedback, ratings, and store details. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| seller | string | yes | Username or store URL. e.g. cocosmartphones |
No output schema declared.
No examples provided.
run_ebay_seller_feedback ~81
Get feedback reviews received by an eBay seller: rating, reviewer, and related item. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| max_items | integer | – | Max items (up to 500) |
| seller | string | yes | Username or store URL. e.g. cocosmartphones |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_ebay_seller_items ~81
List active eBay listings for a seller: title, price, condition, and image. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| max_items | integer | – | Max items (up to 500) |
| seller | string | yes | Username or store URL. e.g. cocosmartphones |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_ec_companies ~67
Get one company from the Ecuador registry (Superintendencia de Compañías) by expediente number or RUC: expediente, RUC and registered name. 5 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Expediente or RUC. e.g. 7154 |
No output schema declared.
No examples provided.
run_ec_companies_search ~85
Search the Ecuador company registry (Superintendencia de Compañías) by company name: expediente number, RUC and name (the registry returns up to 15 matches per search). 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Company name. e.g. pronaca |
| max_items | integer | – | Max items (up to 15) |
No output schema declared.
No examples provided.
run_ee_companies ~71
Get one company from the Estonia registry (e-Business Register) by registration number or registry URL: name, status, registration date, address and legal form. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Registration number or registry URL. e.g. 12417834 |
No output schema declared.
No examples provided.
run_ee_companies_search ~105
Search the Estonia company registry (e-Business Register) by company name: name, registration number, status, address and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Company name. e.g. bolt |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| status | string | – | Status. Options: active = Active, inactive = Inactive / dissolved |
No output schema declared.
No examples provided.
run_ee_company_documents ~87
Annual reports and documents of one Estonian company (e-Business Register): date, type, title and download links. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Registration number or registry URL. e.g. 12417834 |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_email_enrichment ~31
Enriches a known email address with profile-related data when available.
| Name | Type | Req | Description |
|---|---|---|---|
| string | yes | – |
No output schema declared.
No examples provided.
run_email_finder ~49
Finds a professional email address using company domain, first name, and last name.
| Name | Type | Req | Description |
|---|---|---|---|
| domain | string | yes | – |
| first_name | string | yes | – |
| last_name | string | yes | – |
No output schema declared.
No examples provided.
run_email_validation ~27
Validates an email address and returns deliverability signals.
| Name | Type | Req | Description |
|---|---|---|---|
| string | yes | – |
No output schema declared.
No examples provided.
run_es_companies ~130
Get one company from the Spain registry (Registro Mercantil, Registradores de España open-data directory) by NIF/CIF or registry link: name, status (Vigente / Liquidada / Concurso), address, legal form, registry office and sheet number, IRUS and EUID identifiers, CNAE/NACE activity, website, special situation, administrators and officers with their roles, and other registry entries under the same NIF such as branches. 10 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | NIF/CIF or registry URL. e.g. A15075062 |
No output schema declared.
No examples provided.
run_es_companies_search ~136
Search the Spain company registry (Registro Mercantil, Registradores de España open-data directory) by company name, brand or NIF: name, NIF/CIF, status, address, legal form, registry office, sheet number, EUID, CNAE activity and link. 2 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Company name. e.g. inditex |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| status | string | – | Status. Options: active = Active, inactive = Inactive / dissolved |
No output schema declared.
No examples provided.
run_eustartups_directory ~82
Get one startup from the EU-Startups database by slug or URL: tagline, description, country, city, tags, founding year, total funding, website, status, social links and related articles. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Startup slug or EU-Startups URL. e.g. vista-ai |
No output schema declared.
No examples provided.
run_eustartups_directory_categories ~54
The country categories of the EU-Startups database with their slugs (use them as the country filter of the directory search), names, links and startup counts. Flat 5 points per successful run.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
run_eustartups_directory_search ~121
Search the EU-Startups startup database by country category (e.g. german-startups) or by keyword: name, city, tags, founding year, logo and link. Provide a country or a keyword. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | Country category. e.g. german-startups |
| keyword | string | – | Keyword (instead of country). e.g. ai |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_eustartups_investors ~81
Get one investor from the EU-Startups investor database by slug or URL: type, HQ country, website, investment areas, typical investment, funding stages, LinkedIn and contact email. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| investor | string | yes | Investor slug or EU-Startups URL. e.g. vitaminc |
No output schema declared.
No examples provided.
run_eustartups_investors_search ~140
Search the EU-Startups investor database by name, type and HQ country: type, HQ, investment areas, typical investment, funding stage and link. All filters are optional. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| country | string | – | HQ country (ISO-2). e.g. DE |
| keyword | string | – | Investor name. e.g. capital |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| type | string | – | Investor type. Options: vc = VC firm, accelerator = Accelerator, corporate = Corporate VC |
No output schema declared.
No examples provided.
run_extract ~39
Loads a page by URL and extracts structured data.
| Name | Type | Req | Description |
|---|---|---|---|
| instructions | string | yes | – |
| settings | object | yes | – |
| url | string | yes | – |
No output schema declared.
No examples provided.
run_fi_companies ~98
Get one company from the Finland registry (PRH / YTJ) by Business ID (Y-tunnus) or registry URL: name, status, registration date, address, legal form, names, registrations, tax debt status and Business ID history. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Business ID (Y-tunnus) or registry URL. e.g. 0112038-9 |
No output schema declared.
No examples provided.
run_fi_companies_search ~107
Search the Finland company registry (PRH / YTJ) by company name: name, Business ID, status, municipality and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Company name. e.g. nokia |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| status | string | – | Status. Options: active = Active, inactive = Inactive / dissolved |
No output schema declared.
No examples provided.
run_flipkart_product ~82
Get full Flipkart product details by item id or product URL: title, brand, price, MRP, discount, images, color, rating, category, breadcrumbs, availability, condition and recent reviews. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| product | string | yes | Item ID or product URL. e.g. itm235cd318bde73 |
No output schema declared.
No examples provided.
run_flipkart_product_reviews ~99
Get customer reviews for a Flipkart product: rating, title, text, author, date, location, certified-buyer flag, helpful/downvote counts and photos. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| max_items | integer | – | Max items (up to 500) |
| product | string | yes | Item ID or product URL. e.g. itm235cd318bde73 |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_flipkart_product_search ~88
Search Flipkart products by keyword: id, title, brand, price, MRP, discount, image, key specs, rating and review counts. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Search term. e.g. wireless earbuds |
| max_items | integer | – | Max items (up to 500) |
| start_page | integer | – | Starting page |
No output schema declared.
No examples provided.
run_flipkart_seller ~80
Get the Flipkart seller offering a given product: name, rating, years on Flipkart, units sold, quality/speed scores, product/service quality ratings and description. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| product | string | yes | Item ID or product URL. e.g. itm4d0125d9c2c65 |
No output schema declared.
No examples provided.
run_fr_companies ~71
Get one company from the France registry (RNE / INPI) by registration number or registry URL: name, status, registration date, address and legal form. Flat 30 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| company | string | yes | Registration number or registry URL. e.g. 552032534 |
No output schema declared.
No examples provided.
run_fr_companies_search ~106
Search the France company registry (RNE / INPI) by company name: name, registration number, status, address and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| keyword | string | yes | Company name. e.g. danone |
| max_items | integer | – | Max items (up to 250) |
| start_page | integer | – | Starting page |
| status | string | – | Status. Options: active = Active, inactive = Inactive / dissolved |
No output schema declared.
No examples provided.
run_futurepedia_categories ~133
AI tool categories of Futurepedia with the number of tools in each and the group they belong to (the top sub-categories shown on the Futurepedia categories page). Optional group filter. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| group | string | – | Group. Options: productivity = AI Productivity Tools, video = AI Video Tools, text-generators = AI Text Generators, business = AI Business Tools, image = AI Image Tools, automations = Automation Tool… |
No output schema declared.
No examples provided.
run_futurepedia_tools ~80
Get one AI tool from Futurepedia by slug or URL: description, rating and review count, categories, pricing, key features, pros and cons, use cases, pricing plans, rating breakdown and social links. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| tool | string | yes | Tool slug or Futurepedia URL. e.g. midjourney |
No output schema declared.
No examples provided.
run_futurepedia_tools_alternatives ~79
Alternatives to one Futurepedia AI tool (slug or URL): name, description, pricing, rating, categories and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| max_items | integer | – | Max items (up to 8) |
| tool | string | yes | Tool slug or Futurepedia URL. e.g. midjourney |
No output schema declared.
No examples provided.
run_futurepedia_tools_reviews ~74
User reviews of one Futurepedia AI tool (slug or URL): rating, review text and reviewer name. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| max_items | integer | – | Max items (up to 250) |
| tool | string | yes | Tool slug or Futurepedia URL. e.g. midjourney |
No output schema declared.
No examples provided.
run_futurepedia_tools_search ~152
List the AI tools of one Futurepedia category (slug like video-generators or a category URL) with sorting, pricing, feature and verified filters: name, description, pricing, rating, categories and link. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | Category slug or URL. e.g. video-generators |
| feature | array | – | Features |
| max_items | integer | – | Max items (up to 250) |
| pricing | array | – | Pricing |
| sort | string | – | Sort. Options: trending = Trending, popular = Popular, new = New |
| start_page | integer | – | Starting page |
| verified_only | boolean | – | Verified tools only |
No output schema declared.
No examples provided.
run_gartner_categories ~29
Get the full Gartner Peer Insights category and market taxonomy. Flat 5 points per successful run.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
run_gartner_market ~57
Get a Gartner Peer Insights market profile by alias or URL: features, research, and lessons learned. Flat 5 points per successful run.
| Name | Type | Req | Description |
|---|---|---|---|
| market | string | yes | Market alias or URL. e.g. data-loss-prevention |
No output schema declared.
No examples provided.
run_gartner_market_products ~67
List ranked Gartner Peer Insights products within a market, with ratings and vendors. 1 point per returned record.
| Name | Type | Req | Description |
|---|---|---|---|
| market | string | yes | Market alias or URL. e.g. data-loss-prevention |
| max_items | integer | – | Max items (up to 250) |
No output schema declared.
No examples provided.
How do I install the NeuralVerge MCP server?
NeuralVerge runs locally as an npm package, launched with npx -y neuralverge-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · neuralverge-mcp-server
claude mcp add ai-neuralverge-neuralverge -- npx -y neuralverge-mcp-server
What is the NeuralVerge MCP server?
NeuralVerge is an MCP server listed in the public MCP registry as ai.neuralverge/neuralverge. Structured, cited, real-world data from 300+ sources and the open web for your AI agents. This page covers its npm package (neuralverge-mcp-server).
Is the NeuralVerge MCP server safe to use?
NeuralVerge scores 69 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 October 2026. It declares no install or post-install scripts. 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 NeuralVerge MCP server expose?
NeuralVerge exposes 342 tools: run_search, run_extract, run_linkedin_email, run_linkedin_domain, run_linkedin_company_search, and 337 more. Their descriptions and schemas cost roughly 42,653 tokens of context every time the server is loaded.
Is the NeuralVerge MCP server still maintained?
NeuralVerge is still listed as active in the MCP registry. We last reached this channel on 23 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the NeuralVerge MCP server under?
NeuralVerge declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.