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mambalabsdev/mcp-ai-tooling-detector

mambalabsdev/mcp-ai-tooling-detector

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.
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mcp-ai-tooling-detector -- npx -y mcp-ai-tooling-detector
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · mambalabsdev/mcp-ai-tooling-detector · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 mambalabsdev/mcp-ai-tooling-detector;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

AI Tooling Detector MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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. |
来源
awesome · https://github.com/mambalabsdev/mcp-ai-tooling-detector
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