This MCP server exposes one tool, detect_ai_tooling, to assess a company domain's real AI adoption using the Mamba Labs AI Tooling Detector Apify actor.
Analyze a single domain or batch of domains for an ai_maturity tier: none, declared, deployed, or commercialized.
Retrieve supporting evidence, detected AI vendors/categories, validated llms.txt status, and robots.txt AI-crawler policy.
Optionally score the pricing page to detect commercialized AI offerings; disabling this caps results at deployed.
Force fresh analysis by skipping the 7-day cache.
Identify bot-challenged sites as blocked=true at low confidence rather than false negatives.
Return flat Clay-ready JSON, but requires an APIFY_TOKEN and consumes Apify credits per domain analyzed.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@AI Tooling Detector MCP Server Does intercom.com charge for AI or just talk about it?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: domain-intel-mcp
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 |
| 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 |
| AI tooling is running on the site | An AI-native vendor, a direct inference endpoint, or an AI-capable platform backed by AI copy |
| The company says AI, nothing observable | A validated llms.txt, AI crawler rules in robots.txt, or weighted marketing copy |
| No signal fired | Nothing |
| 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.
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.
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.
"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?"
detect_ai_tooling
Input | Type | Required | Description |
| string | one of these | A single company domain, e.g. |
| string[] | one of these | Batch mode. Takes precedence over |
| array | no | Report only these AI vendors, one or more of the 52 fingerprinted tools ( |
| boolean | no | Fetch and score the pricing page. Default true. Setting it false is faster but caps the result at |
| boolean | no | Force a fresh analysis and ignore the 7 day result cache. |
| integer | no | Per-request timeout in milliseconds, 3000 to 20000. Default 9000. |
| integer | no | Batch mode only: how many domains the actor analyzes at once, 1 to 10. Default 5. |
The tool reads public data and writes nothing, but every call starts a paid Apify run, so it is not marked read only.
The tool starts the actor run and polls it to a finished status, so a long run is not cut off at 300 seconds. The run is allowed 1,800 seconds. If it is still going two minutes after that, the call stops waiting and returns the run ID with a link to it in the Apify Console, where the results land when it finishes. A run that does not succeed comes back as an error with its run ID and status.
Price per event on the Apify FREE plan, from the live pricing record; paid Apify plans pay less per event.
Event | Price (USD) |
Actor start ( | 0.00005 |
Domain analyzed ( | 0.003 |
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
This server is part of the Mamba Labs GTM Suite, a fleet of specialized MCP servers for go-to-market signal intelligence, each backed by a dedicated Apify actor. The @mambalabsdev/mcp-gtm-suite umbrella server exposes all of them, including this one, through a single install.
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Built by Mamba Labs | npm | Apify Store
MIT
Built by Mamba Labs. https://apify.com/mambalabs
Given a company domain, determine how far that company has actually gone with AI. Returns an ai_maturity tier of none, declared (says AI but nothing observable is running), deployed (AI tooling is live on the site), or commercialized (the pricing page charges for AI via credits, tokens, an add-on, an AI-named plan, or a per-outcome price). Also returns the detected AI vendors and categories, validated llms.txt status, robots.txt AI-crawler policy, and the quotable evidence strings behind the verdict. A domain behind a bot challenge comes back with blocked=true at low confidence rather than as a false negative. Public data only, no login. Returns flat Clay-ready JSON. Read-only; requires an APIFY_TOKEN and consumes Apify credits per domain analyzed.
Inputs: domain, domains, skipCache, check_pricing.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 1 tool
With only one tool, there is no possibility of confusing it with others. The tool's purpose is clearly defined and unique within the server.
The single tool name follows a clear verb_noun pattern ('detect_ai_tooling'), which is consistent and descriptive. With one tool, naming consistency is trivially maintained.
The server has only one tool, which feels thin for a comprehensive tool server but is appropriate for a narrowly focused utility. The count is on the low end of reasonable.
The tool covers the entire domain of AI tooling detection for a given domain, including maturity tiering, vendor detection, llms.txt validation, robots.txt policy, and evidence. No obvious gaps exist for the stated single-purpose scope.
Tech stack, WHOIS, DNS, SPF/DMARC, SSL expiry and AI crawler rules per domain. Runs on Apify.
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Scan any website for AI readiness — 100-point score across 6 AEO categories in seconds.
