Caido MCP Server

A Model Context Protocol (MCP) server that acts as a bridge to Caido, allowing AI Agents (like Claude, LangChain, etc.) to perform automated security testing and analysis.

🚀 Capabilities

This server connects to your local Caido instance (default port 8080) and exposes tools to:

• View Request History: Analyze traffic captured by Caido proxy.

• Send Requests: Forge and send HTTP requests via Caido's engine.

• Scan for Mitigation: Run basic automated XSS/SQLi checks.

• Get Findings: Retrieve reported vulnerabilities.

See MCP_CAPABILITIES.md for a detailed power list.

Related MCP server: MCPPentestBOT

🛠️ Setup

1. Prerequisites:

   • Node.js installed.

   • Caido running (usually on port 8080).

   • Caido API Token (Settings -> API).

2. Installation:

   git clone https://github.com/FazcomIA/mcp-caido.git
   cd mcp-caido
   npm install

3. Configuration: Create a .env file in the root:

   CAIDO_URL=http://127.0.0.1:8080/graphql
   CAIDO_API_TOKEN=your_token_here
   MCP_PORT=3000
   MCP_API_KEY=mcp-dev-key

🏃 Usage

Start the server:

node server.js

Connect an AI Agent

The MCP server listens on http://localhost:3000/mcp/call. Required Header: X-API-Key: mcp-dev-key

Example Curl:

curl -X POST http://localhost:3000/mcp/call \
  -H "Content-Type: application/json" \
  -H "X-API-Key: mcp-dev-key" \
  -d '{"tool": "getStatus", "params": {}}'

🔒 Security

• API Key: Protected by MCP_API_KEY.

• Local Only: By default, runs locally. Be careful if exposing to a network.