Mcp Ai Tooling Detector

Detect whether a company declares, deploys, or charges for AI, with evidence.

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Transport
Not stated
Package
—
Registry id
com.mambabuilt/mcp-ai-tooling-detector

No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.

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

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

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:

{
  "mcpServers": {
    "mamba-ai-tooling-detector": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-ai-tooling-detector"],
      "env": { "APIFY_TOKEN": "your-apify-token" }
    }
  }
}

Restart the client and the detect_ai_tooling tool appears.

Prerequisites

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.
skipCache boolean no Force a fresh analysis and ignore the 7 day result cache.

The tool is read-only and idempotent. It never writes anything.

Full actor documentation

Input reference, the complete output field list, pricing tiers, error handling, and the measured limitations are on the actor's Apify Store page:

https://apify.com/mambalabs/ai-tooling-detector

Immutable actor ID: EwkHhmqiuJgRoVEbE

Mamba Labs GTM Suite

From the project's README.