MCP server for the Mamba Labs AI Tooling Detector actor on Apify. Give it a company domain and it returns whether the company only declares AI, actually deploys AI tooling on its site, or charges money for AI, with the evidence behind the verdict as flat Clay-ready JSON.
claude mcp add mcp-ai-tooling-detector -- npx -y mcp-ai-tooling-detector
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
0 ★ · mambalabsdev/mcp-ai-tooling-detector · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
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We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository mambalabsdev/mcp-ai-tooling-detector;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
An MCP server that exposes the Mamba Labs AI Tooling Detector as a single tool. Install one package and give your MCP client a way to ask, for any company domain, whether that company only talks about AI, actually runs AI tooling on its site, or charges money for AI. It wraps the Mamba Labs actor on Apify and returns Clay-ready flat JSON. What's Inside - What it does - Quick start - Prerequisites - Example prompts - Tool and inputs - Full actor documentation - Mamba Labs GTM Suite - License What it does This server gives an AI client one tool: - detect_ai_tooling: return an ai_maturity tier for a company domain, plus the evidence behind it. The tier has four levels and each one needs its own class of evidence: | Tier | What it means | What proves it | |---|---|---| | commercialized | The company charges for AI | AI credits, a token allowance, an AI add-on, an AI-named plan, or a per-outcome AI price on the pricing page | | deployed | AI tooling is running on the site | An AI-native vendor, a direct inference endpoint, or an AI-capable platform backed by AI copy | | declared | The company says AI, nothing observable | A validated llms.txt, AI crawler rules in robots.txt, or weighted marketing copy | | none | No signal fired | Nothing | | max_charge_usd | number | Optional cost cap in USD for this run. The actor stops before an item that could take its charges past this amount. | A domain sitting behind a bot challenge comes back with blocked: true at low confidence rather than as a confident no, so a challenged site is never mistaken for a company with no AI. All of the work runs on Apify. This package is a thin client that routes the tool call to the actor and hands back the result. Quick start You need Node.js 18 or newer and an Apify account with an API token. Add this to your Claude Desktop config: Restart the client and the detect_ai_tooling tool appears. Prerequisites - Node.js 18 or newer - An Apify API token from https://console.apify.com/account/integrations Calls consume Apify credits, billed per domain analyzed. Free Apify plans get 15 results per calendar month. Example prompts - "Does intercom.com actually charge for AI, or do they just market it?" - "Check notion.so, figma.com and berkshirehathaway.com for AI adoption and tell me which ones already pay for AI." - "Which AI vendors are running on zendesk.com?" - "Does cursor.com publish an llms.txt, and does their robots.txt block GPTBot?" Tool and inputs detect_ai_tooling | Input | Type | Required | Description | |---|---|---|---| | domain | string | one of these | A single company domain, e.g. intercom.com. | | domains | string[] | one of these | Batch mode. Takes precedence over domain. | | vendors | array | no | Report only these AI vendors, one or more of the 52 fingerprinted tools (sierra, decagon, intercom_fin, openai_api, anthropic_api, pinecone, langchain and the rest). The site wide AI maturity read is never narrowed by this. Omit for every vendor. | | check_pricing | boolean | no | Fetch and score the pricing page. Default true. Setting it false is faster but caps the result at deployed, because commercialized can only be proven on a pricing page. |