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ai-scanner-mcp

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ai-scanner-mcp

MCP server for ai-scanner — scan codebases for LLM usage, AI frameworks, and exposed secrets

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ai-scanner-mcp

MCP server for ai-scanner - let AI agents scan codebases for LLM usage, AI frameworks, and exposed secrets.

License: MIT Node.js MCP

An MCP server that exposes ai-scanner as tools for AI agents. Works with Claude Code, Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.

Tools

ToolDescription
scan_directoryFull scan — LLM SDKs, AI frameworks, exposed tokens, and hardcoded secrets with severity levels
check_secretsSecurity check — pass/fail scan for exposed credentials only. Perfect for pre-commit checks
ai_inventoryAI stack overview — which SDKs, frameworks, models, and API endpoints are used (no secret detection)

Setup

Claude Code

claude mcp add ai-scanner npx ai-scanner-mcp

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "ai-scanner": {
      "command": "npx",
      "args": ["ai-scanner-mcp"]
    }
  }
}

Config file location:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Cursor

Add to .cursor/mcp.json in your project:

{
  "mcpServers": {
    "ai-scanner": {
      "command": "npx",
      "args": ["ai-scanner-mcp"]
    }
  }
}

Windsurf

Add to ~/.windsurf/mcp.json:

{
  "mcpServers": {
    "ai-scanner": {
      "command": "npx",
      "args": ["ai-scanner-mcp"]
    }
  }
}

Example Usage

Once connected, you can ask your AI agent:

  • "Scan this project for any exposed API keys"
  • "Check if there are any hardcoded secrets before I commit"
  • "What AI SDKs and frameworks does this codebase use?"
  • "Run a security scan on ./src and tell me if it's safe to push"
  • "Give me an AI inventory of this project"

Tool Details

scan_directory

Full scan with all detection categories. Parameters:

ParameterTypeDefaultDescription
directorystringrequiredPath to scan
ai_onlybooleanfalseSkip generic secrets (Stripe, GitHub, etc.)
scan_envbooleanfalseInclude .env files
include_endpointsbooleantrueDetect LLM API endpoint URLs
include_modelsbooleantrueDetect model name references

check_secrets

Security-focused pass/fail check. Parameters:

ParameterTypeDefaultDescription
directorystringrequiredPath to scan
ai_onlybooleanfalseOnly check AI tokens
scan_envbooleanfalseInclude .env files

ai_inventory

AI stack awareness (no secret detection). Parameters:

ParameterTypeDefaultDescription
directorystringrequiredPath to scan

Detection Coverage

  • AI Tokens (20+) — OpenAI, Anthropic, Google, AWS, HuggingFace, Groq, Replicate, and more
  • Generic Secrets (59) — Stripe, Twilio, GitHub, Slack, Discord, database URIs, private keys, JWTs
  • LLM SDKs (23) — OpenAI, Anthropic, Google Gemini, LiteLLM, AWS Bedrock, and more
  • AI Frameworks (24) — LangChain, LlamaIndex, CrewAI, AutoGen, DSPy, Vercel AI SDK, and more
  • 145 total detection patterns

License

MIT

Keywords

mcp

FAQs

Package last updated on 21 Mar 2026

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