MCP server

Adaga solutions — Data APIs Toolbox

io.github.jeffreyturov-dev/adaga-solutions-toolbox

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

12 pay-per-event data APIs: Maps, TikTok, Instagram, YouTube, LinkedIn, RAG, reviews, fuel, AEO.

Working at last checkAbout 6,454 tokens per request once connected13 tools

Website

https://adagasolutions.lu/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 13
Token cost: About 6,454 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http adaga-solutions-toolbox https://adagasolutions.lu/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.adaga-solutions-toolbox]
url = "https://adagasolutions.lu/mcp"

Gemini CLI

{"mcpServers":{"adaga-solutions-toolbox":{"httpUrl":"https://adagasolutions.lu/mcp"}}}

Cursor

{"mcpServers":{"adaga-solutions-toolbox":{"url":"https://adagasolutions.lu/mcp"}}}

VS Code

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

Antigravity

agy mcp add adaga-solutions-toolbox https://adagasolutions.lu/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"adaga-solutions-toolbox","server_url":"https://adagasolutions.lu/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"adaga-solutions-toolbox","server_url":"https://adagasolutions.lu/mcp"}

Tools

aeo_ai_visibility_checker ~389 tokens
Check any WEBSITE's AI visibility with a 7-criteria technical 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 — returns a 0-7 score with exact fixes plus a generated llms.txt draft. This audits ONLY the w
api_breaking_change_radar ~701 tokens
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 AP
france_fuel_prices ~255 tokens
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.
google_maps_scraper ~658 tokens
Extract local business data from Google Maps IN BULK: names, addresses, phones, ratings, review counts, websites, GPS coordinates — up to 100 businesses per call (refine the query for narrower results). Use when you need lead lists, competitor maps or market research across a city or search query —
hotel_rate_monitoring ~101 tokens
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.
instagram_scraper ~168 tokens
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.
linkedin_profile_scraper ~262 tokens
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.
local_presence_audit ~876 tokens
Deep audit of ONE local business's online presence in a single 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 transpare
rag_web_browser ~393 tokens
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.
review_pitch_generator ~1238 tokens
Generate pre-sales reports from a business's worst Google Maps reviews: HTML report plus ready-to-send pitch. Use when doing agency outbound and you want to show prospects their visible bad reviews. Use review_radar instead to monitor for NEW reviews over time; use local_presence_audit instead for a
review_radar ~796 tokens
Monitor Google Maps reviews and detect only NEW ones since previous runs (stateful tracking per business), with Bayesian urgency classification and optional Slack alerts — your reputation radar. Use when tracking review activity OVER TIME for businesses you already know. Use google_maps_scraper inst
tiktok_scraper ~275 tokens
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.
youtube_scraper ~342 tokens
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.

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