Adaga solutions — Data APIs Toolbox
REMOTE · ADAGASOLUTIONS.LU
12 pay-per-event data APIs: Maps, TikTok, Instagram, YouTube, LinkedIn, RAG, reviews, fuel, AEO.
Available components
Last scanned (3 hours ago)
Scores higher than 46% of remote servers
Reachable. Last reached 17 Oct 2026.
Category Web Scraping
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 Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 13 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability63
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 2718 tokens (~209/item across 13 items; 13 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 Management17
- Stability observed for 5 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 13 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 14 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities60
- Spec-recency check failed: implements MCP spec 2025-06-18; the latest is 2026-07-28. See how to fix → Fail
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.
- 17 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 14 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Oct 26 0
- The server rewrote its instructions, which are the text every model session reads security
- Schema quality: 2303 → 2718 ▼ functional
- Stability: unverified → 0.03 ▲ functional
- Server version: 1.0.0 → 1.1.0 functional
- New tool “local_presence_audit” functional
- 12 Oct 26 61
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 17 Oct 2026 · Probed https://adagasolutions.lu/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_256_GCM_SHA384 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=adagasolutions.lu | CN=YE2,O=Let's Encrypt,C=US | 9 Oct 2026 | 7 Jan 2027 | ECDSA 256 | ECDSA-SHA384 | 541e1f36daaf32fec0fa5ba990fa5b96366 |
| SANs: adaga-solutions.com, adaga.lu, adagasolutions.lu, www.adaga-solutions.com, www.adaga.lu, www.adagasolutions.lu | ||||||
| CN=YE2,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 4df3b15dd6c0784c507cd37b58e6f115 |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of adagasolutions.lu. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| lu. | present | 20752 | 8 | Verified |
| adagasolutions.lu. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
| Header | Value |
|---|---|
| x-content-type-options | nosniff |
| x-frame-options | DENY |
| referrer-policy | strict-origin-when-cross-origin |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://adagasolutions.lu/mcp | Verified | 200 | |
| http (plaintext) | http://adagasolutions.lu/mcp | HTTPS enforced | 301 | https://adagasolutions.lu/mcp |
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 →
aeo_ai_visibility_checker ~167
Check any website's AI visibility with a 7-criteria AEO audit: JSON-LD, llms.txt, AI bots in robots.txt and more. Use when you need to know if a site can be cited by ChatGPT, Perplexity or Claude — this checker returns a 0-7 score with exact fixes plus a generated llms.txt draft. FREE.
| Name | Type | Req | Description |
|---|---|---|---|
| generateLlmsTxt | boolean | – | Also generate a ready-to-publish llms.txt draft for the audited site (delivered in the dataset and in the key-value store as llms.txt). |
| url | string | yes | Full URL of the site to audit (e.g. https://example.lu). The checker fetches the homepage, /llms.txt and /robots.txt. |
No output schema declared.
No examples provided.
api_breaking_change_radar ~243
Monitor public APIs and detect breaking changes by diffing OpenAPI specs and classifying changelogs — a radar for the APIs you depend on. Use when you need early warning before an API change breaks your integration. Returns change events classified by severity. Pricing: $0.50 per run + $0.005 per API checked.
| Name | Type | Req | Description |
|---|---|---|---|
| apis | array | yes | List of APIs to watch. For type 'openapi', url must point to a raw OpenAPI spec (JSON or YAML). For type 'github-releases', url must be 'owner/repo' or a GitHub repo URL. For type 'rss', url must be… |
| dryRun | boolean | – | When true, the actor performs the full detection but does NOT charge any pay-per-event fee. Use for testing your configuration. |
| maxApis | integer | – | Safety cap on the number of APIs processed in one run. |
| webhookUrl | string | – | POST endpoint called at the end of each run with a JSON summary (counts by class + top critical changes). Slack/Discord/Teams incoming-webhook compatible payload is included. |
No output schema declared.
No examples provided.
france_fuel_prices ~129
Get live fuel prices for about 10,000 gas stations across France (official open data, Hermès Revenu API). Use when comparing fuel prices, estimating route costs or building price datasets for France. Returns station objects with prices per fuel type. Pricing: $0.20 per run + $0.01 per 1k stations.
| Name | Type | Req | Description |
|---|---|---|---|
| carburant | string | – | Filtrer par type de carburant |
| departement | string | – | Filtrer par code département (ex: '75' pour Paris, '69' pour Lyon). Laissez vide pour toute la France. |
No output schema declared.
No examples provided.
google_maps_scraper ~228
Extract local business data from Google Maps with this scraper: names, addresses, phones, ratings, review counts, websites, GPS coordinates. Use when you need lead lists, competitor analysis or market research for any city or search query. Returns an array of business objects. Pricing: $1.00 per run + $0.03 per business scraped.
| Name | Type | Req | Description |
|---|---|---|---|
| includeReviews | boolean | – | Whether to extract user reviews for each business |
| language | string | – | Language code for Google Maps results (e.g., 'fr', 'en', 'de', 'es') |
| maxResults | integer | – | Maximum number of businesses to extract per query |
| maxReviews | integer | – | Maximum number of reviews to extract per business |
| proxyConfiguration | object | – | Proxy settings. Residential proxies are recommended for Google Maps. |
| queries | array | – | Array of search queries to scrape. Use this for multiple searches in one run. |
| searchQuery | string | – | What to search on Google Maps (e.g., 'restaurants Paris', 'plumbers London', 'hotels New York') |
No output schema declared.
No examples provided.
hotel_rate_monitoring ~45
Monitor hotel rates across booking sources for revenue management. Use when tracking competitor hotel pricing or building rate intelligence. Returns rate observations per hotel and date. Micro-pricing per event.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
instagram_scraper ~82
Scrape Instagram profiles and hashtag posts: followers, posts, engagement metrics. Use when vetting influencers, monitoring brands or tracking competitors on Instagram. Returns profile objects with recent posts. Pricing: $0.01 per profile scraped.
| Name | Type | Req | Description |
|---|---|---|---|
| profiles | array | yes | List of Instagram usernames to scrape (without @). Example: ["nasa", "cristiano"] |
No output schema declared.
No examples provided.
linkedin_profile_scraper ~119
Extract public LinkedIn profile data with this scraper: name, headline, experience, company. Use when enriching B2B leads or doing recruiting research on LinkedIn. Returns structured profile objects. Pricing: $0.02 per profile scraped.
| Name | Type | Req | Description |
|---|---|---|---|
| includeExperience | boolean | – | Whether to extract work experience details |
| includeSkills | boolean | – | Whether to extract the skills section |
| profileUrls | array | yes | List of LinkedIn profile URLs to scrape (e.g., ['https://www.linkedin.com/in/williamhgates/']) |
No output schema declared.
No examples provided.
local_presence_audit ~416
Audit any local business's online presence in one run: Google Business Profile data (rating, review count, category, contact), recent reviews with urgency classification and owner-response detection, website AI-readiness scan (llms.txt, JSON-LD, robots.txt AI-crawler rules), a transparent presence score /100, and ready-to-use deliverables (publishable llms.txt, LocalBusiness JSON-LD, AI-drafted review responses, prioritized action plan). Use when you need to audit a local business before selling it marketing services, or to check whether ChatGPT, Perplexity and Gemini can 'see' a business. Pricing: $1.00 per run + $0.50 per business audited.
| Name | Type | Req | Description |
|---|---|---|---|
| dryRun | boolean | – | When true, the actor runs fully but skips all pay-per-event charges. Use it for testing and integration QA. |
| language | string | – | Google Maps interface language code (fr, en, de...). Affects localized labels parsing. |
| maxReviews | integer | – | Number of most recent Google reviews to scrape and classify (urgency detection, owner-response check). Between 1 and 30. |
| proxyConfiguration | object | – | Apify proxy settings. Residential proxies are strongly recommended — Google Maps blocks datacenter IPs. Defaults to RESIDENTIAL. |
| query | string | – | Business name + city used to find its Google Maps profile (e.g. 'Boulangerie Paul Mersch' or 'restaurant Esch-sur-Alzette'). The first, most relevant place is audited. Optional if websiteUrl alone is… |
| websiteUrl | string | – | Full URL of the business website (e.g. https://example.lu). Scanned without a browser for AI-readiness: JSON-LD structured data, LocalBusiness schema, meta description, H1, Open Graph, /llms.txt, and… |
No output schema declared.
No examples provided.
rag_web_browser ~182
Fetch web pages and convert them into clean LLM-ready text for RAG pipelines. Use when an agent needs readable page content from the web without HTML noise — a lightweight browser alternative for retrieval. Returns per-page cleaned text with metadata. Pricing: $0.003 per page crawled.
| Name | Type | Req | Description |
|---|---|---|---|
| lang | string | – | Language code for search results (e.g. en, fr, de) |
| maxResults | integer | – | Maximum number of search results / pages to process |
| outputFormat | string | – | Content format: markdown (best for LLM/RAG) or plain text |
| query | string | – | Google search query. Top results are fetched and extracted. Example: 'best crm software 2026' |
| urls | array | – | Direct page URLs to extract content from (instead of searching). Example: ["https://example.com/article"] |
No output schema declared.
No examples provided.
review_pitch_generator ~468
Generate pre-sales reports from a business's worst Google Maps reviews: HTML report plus ready pitch. Use when doing agency outbound and you want to show prospects their visible bad reviews. Returns pitch text and a shareable report URL per business. Pricing: $0.25 per run + $0.10 per pitch generated.
| Name | Type | Req | Description |
|---|---|---|---|
| dryRun | boolean | – | Testing mode: skips report publishing and billing events |
| emailMap | object | – | Mapping place name or Maps URL -> recipient email for outbound delivery. Only used when sendApproval is true. |
| maxEmailsPerRun | integer | – | Rate limit: maximum reports emailed in one run (plus 20s inter-send delay and a 20/day global cap) |
| maxPlaces | integer | – | How many prospects to analyze |
| maxReviewsPerPlace | integer | – | How many recent reviews to scan per business when looking for the worst |
| mode | string | – | generate = scrape + pitch + delivery. check-engagement = IMAP reply watch only (no Maps scraping, runs even under Google rate-limit) |
| placeUrls | array | – | Google Maps place URLs (/maps/place/...) of the prospects to analyze |
| proxyConfiguration | object | – | A residential proxy is strongly recommended — Google Maps blocks datacenter IPs. |
| query | string | – | Google Maps search, e.g. 'restaurants Esch-sur-Alzette' — takes the first maxPlaces results. Ignored if placeUrls is non-empty. |
| sendApproval | boolean | – | Explicit approval gate: without it, NO email is ever sent (reports are generated only) |
| smtpPassword | string | – | Gmail app password for the SMTP user. Secret input, never logged. |
| smtpUser | string | – | Gmail address used to send reports (requires an app password). Secret input. |
| telemetryEndpoint | string | – | Base URL of our tracking receiver (e.g. https://track.example.com). Embeds an HMAC-signed 1px pixel in each HTML report; opens trigger CONVERSION_RECORDED. |
| vertical | string | – | Sector template for pitch/report: chr (hotels/restaurants), immobilier, sante, artisanat |
| worstThreshold | integer | – | Reviews at or below this rating are included in the pitch report |
No output schema declared.
No examples provided.
review_radar ~271
Monitor Google Maps reviews and detect only NEW ones, with Bayesian urgency classification and optional Slack alerts — your reputation radar. Use when tracking review activity for local businesses. Returns review objects flagged isNew with urgency scores. Pricing: $0.25 per run + $0.01 per new review.
| Name | Type | Req | Description |
|---|---|---|---|
| alertThreshold | integer | – | New reviews with this rating or lower trigger a Slack alert |
| dryRun | boolean | – | Testing mode: skips Slack alerts, state writes, and billing events |
| maxPlaces | integer | – | How many businesses to monitor (from placeUrls or the search query) |
| maxReviewsPerPlace | integer | – | How many recent reviews to scrape per business |
| placeUrls | array | – | Google Maps place URLs (/maps/place/...) to monitor |
| proxyConfiguration | object | – | A residential proxy is strongly recommended — Google Maps blocks datacenter IPs. |
| query | string | – | Google Maps search, e.g. 'restaurants Esch-sur-Alzette' — takes the first maxPlaces results. Ignored if placeUrls is non-empty. |
| slackConnector | string | – | MCP connector to your Slack workspace. Authorize once in Apify Console → Settings → Integrations. The Actor only sees a connector ID. Leave empty to skip alerts (dataset only). |
No output schema declared.
No examples provided.
tiktok_scraper ~138
Scrape TikTok profiles and videos: follower counts, likes, video metadata and stats. Use when researching influencers, tracking social engagement or analyzing TikTok content. Returns profile and video objects. Pricing: $0.01 per profile + $0.002 per video.
| Name | Type | Req | Description |
|---|---|---|---|
| hashtags | array | – | List of hashtags to scrape trending videos from (without #) |
| maxVideosPerProfile | integer | – | Maximum number of videos to extract per profile |
| profiles | array | yes | List of TikTok usernames or profile URLs to scrape (e.g., ['mrbeast', 'https://www.tiktok.com/@charlidamelio']) |
No output schema declared.
No examples provided.
youtube_scraper ~157
Scrape YouTube videos and channels: views, subscribers, metadata, descriptions. Use when researching content trends, analyzing creators or building YouTube datasets. Returns video and channel objects. Pricing: $0.002 per video scraped.
| Name | Type | Req | Description |
|---|---|---|---|
| channelUrls | array | – | YouTube channel URLs to scrape. Supports @handle, /channel/, and /c/ formats. |
| maxResults | integer | – | Maximum number of results per search query (1-50) |
| searchQueries | array | – | Search YouTube for videos matching these queries. Returns top results with full video data. |
| videoUrls | array | – | YouTube video URLs or IDs to scrape. Supports youtube.com/watch, youtu.be, and /shorts/ formats. |
No output schema declared.
No examples provided.
How do I install the Adaga solutions — Data APIs Toolbox MCP server?
Adaga solutions — Data APIs Toolbox is a hosted endpoint at https://adagasolutions.lu/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 · adagasolutions.lu
claude mcp add --transport http jeffreyturov-dev-adaga-solutions-toolbox 'https://adagasolutions.lu/mcp'
What is the Adaga solutions — Data APIs Toolbox MCP server?
Adaga solutions — Data APIs Toolbox is an MCP server listed in the public MCP registry as io.github.jeffreyturov-dev/adaga-solutions-toolbox. 12 pay-per-event data APIs: Maps, TikTok, Instagram, YouTube, LinkedIn, RAG, reviews, fuel, AEO. This page covers its hosted endpoint (https://adagasolutions.lu/mcp).
Is the Adaga solutions — Data APIs Toolbox MCP server safe to use?
Adaga solutions — Data APIs Toolbox scores 63 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 Adaga solutions — Data APIs Toolbox MCP server expose?
Adaga solutions — Data APIs Toolbox exposes 13 tools: local_presence_audit, google_maps_scraper, tiktok_scraper, instagram_scraper, youtube_scraper, and 8 more. Their descriptions and schemas cost roughly 2,645 tokens of context every time the server is loaded.
Does the Adaga solutions — Data APIs Toolbox MCP server require authentication?
No. We connected to Adaga solutions — Data APIs Toolbox without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Adaga solutions — Data APIs Toolbox MCP server still maintained?
Adaga solutions — Data APIs Toolbox is still listed as active in the MCP registry. We last reached this channel on 17 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.