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mambalabsdev/mcp-ai-tooling-detector

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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 s

MCP

mambalabsdev/mcp-ai-tooling-detector

Added 23 Sept 2026

Overview

An MCP server that wraps the Mamba Labs AI Tooling Detector actor on Apify. Given a company domain, it returns a verdict on whether the company only declares AI, actually deploys AI tooling on its site, or charges for AI, with the evidence behind the verdict as flat Clay-ready JSON.

Best for

Best for
Sales and research teams validating AI adoption claims at scale

Use cases

  • Check if a company's AI claims match actual site deployment
  • Generate Clay-ready JSON for CRM enrichment
  • Monitor competitor AI tooling adoption

How to use

Tools exposed

  • check_pricing

Tested with

Claude Desktop, Cursor

Example client config

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

Notes

An MCP server that wraps the Mamba Labs AI Tooling Detector actor on Apify. Given a company domain, it returns a verdict on whether the company only declares AI, actually deploys AI tooling on its site, or charges for AI, with the evidence behind the verdict as flat Clay-ready JSON.

0 stars on GitHub. Last updated 2026-09-17. Licensed MIT.

Use cases

  • Check if a company’s AI claims match actual site deployment
  • Generate Clay-ready JSON for CRM enrichment
  • Monitor competitor AI tooling adoption

Pros

  • Integrates with MCP clients for direct domain queries
  • Returns structured evidence for audit trails
  • Flat JSON simplifies downstream data processing

Cons

  • Requires an Apify account and actor access
  • Only provides categorical verdicts, not detailed metrics
  • No maintenance activity (0 stars) suggests limited community support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Integrates with MCP clients for direct domain queries
  • Returns structured evidence for audit trails
  • Flat JSON simplifies downstream data processing

Cons

  • Requires an Apify account and actor access
  • Only provides categorical verdicts, not detailed metrics
  • No maintenance activity (0 stars) suggests limited community support

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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