Intruder

An MCP server to let AI agents control Intruder

python

22

GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "intruder-io-intruder-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "path/to/intruder-mcp/intruder_mcp",
        "run",
        "server.py"
      ],
      "env": {
        "INTRUDER_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Intruder MCP lets clients like Claude and Cursor control Intruder through a lightweight, configurable MCP server. It supports running locally or inside a Docker container, so you can choose the deployment method that fits your workflow and API key setup.

How to use

You connect your MCP client to Intruder MCP to issue actions and retrieve results from Intruder. Use the same client configuration you rely on for other MCP servers, pointing your client to one of the available run modes. Fill in your API key and, if you run locally, point to the directory where you have the Intruder MCP runtime prepared.