Adaga solutions — Data APIs Toolbox

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Uptime

100%

Response time

55 ms typical, 90 ms slowest 5%

Last check

9 h ago

Next check

any minute now

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "adaga-solutions-data-apis-toolbox": {
      "type": "http",
      "url": "https://adagasolutions.lu/mcp"
    }
  }
}

13 tools

• local_presence_audit

  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 tr

• google_maps_scraper

  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. Pr

• tiktok_scraper

  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.

• instagram_scraper

  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.

• youtube_scraper

  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.

• linkedin_profile_scraper

  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.

• rag_web_browser

  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 cra

• api_breaking_change_radar

  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

• review_radar

  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 +

• review_pitch_generator

  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 + $0.1

• france_fuel_prices

  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 + $0.0

• hotel_rate_monitoring

  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.

• aeo_ai_visibility_checker

  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.

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