Fire in da houseTop Tip:Paying $100+ per month for Perplexity, MidJourney, Runway, ChatGPT and other tools is crazy - get all your AI tools in one site starting at $15 per month with Galaxy AI Fire in da houseCheck it out free

intruder-mcp

MCP.Pizza Chef: intruder-io

Intruder MCP is a server that integrates the Intruder security platform with AI agents like Claude and Cursor, allowing them to control and interact with Intruder via the Model Context Protocol. It supports multiple installation methods including local Python setup, Docker, and Smithery, requiring an Intruder API key for authentication. This server facilitates automated security scanning and management workflows through AI-driven orchestration.

Use This MCP server To

Automate security scans via AI agent commands Integrate Intruder with AI-driven security workflows Trigger vulnerability assessments from natural language requests Fetch and summarize Intruder scan results for reports Manage Intruder API keys securely within AI workflows Schedule regular security checks using AI orchestration

README

Intruder MCP

Let MCP clients like Claude and Cursor control Intruder. For more information and sample use cases, please see our blog post.

Installation

There are three ways to use the MCP server:

  • Through smithery
  • Locally on your machine with Python
  • In a Docker container

All of these methods require you to provide an Intruder API key. To generate a key, see the documentation.

Smithery

Follow the instructions on smithery.

Running Locally

Install uv if it isn't already present, and then clone this repository and run the following from the root directory:

uv venv
uv pip install -e .

Then, add the following to your MCP client configuration, making sure to fill in your API key, and update the path to where you have cloned this repository:

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

Running in a Container

Add the following to your MCP client configuration, making sure to fill in your API key:

{
  "mcpServers": {
    "intruder": {
      "command": "docker",
      "args": [
        "container",
        "run",
        "--interactive",
        "--rm",
        "--init",
        "--env",
        "INTRUDER_API_KEY=<your-api-key>",
        "ghcr.io/intruder-io/intruder-mcp"
      ]
    }
  }
}

intruder-mcp FAQ

How do I install the Intruder MCP server locally?
Clone the repository, install dependencies with uv, and configure your MCP client with your Intruder API key.
What authentication is required to use Intruder MCP?
You need an Intruder API key, which can be generated via Intruder's developer documentation.
Can I run Intruder MCP in a containerized environment?
Yes, the server supports running inside a Docker container for easy deployment.
How does Intruder MCP integrate with AI agents?
It exposes Intruder's functionality through MCP, allowing AI clients like Claude and Cursor to control Intruder programmatically.
Is there a hosted option to use Intruder MCP?
Yes, you can use it through Smithery's hosted MCP server platform.
What programming language is Intruder MCP built with?
It is built using Python and requires Python environment setup for local use.
Can Intruder MCP handle multiple AI clients simultaneously?
Yes, it is designed to serve multiple MCP clients concurrently for integrated workflows.
Where can I find documentation for generating the Intruder API key?
The API key documentation is available on Intruder's official developer site linked in the MCP server README.