Click on "Install 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., "@Caido MCP Serverscan testphp.vulnweb.com for XSS and SQL injection vulnerabilities"
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.
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.
🛠️ Setup
Prerequisites:
Node.js installed.
Caido running (usually on port 8080).
Caido API Token (Settings -> API).
Installation:
git clone https://github.com/FazcomIA/mcp-caido.git cd mcp-caido npm installConfiguration: Create a
.envfile 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:
Connect an AI Agent
The MCP server listens on http://localhost:3000/mcp/call.
Required Header: X-API-Key: mcp-dev-key
Example Curl:
🔒 Security
API Key: Protected by
MCP_API_KEY.Local Only: By default, runs locally. Be careful if exposing to a network.