Can I run the server locally?

Yes, you can run it locally using Python with the uv tool after cloning the repository.

Is there a containerized option?

Yes, the server can be run in a Docker container using the official image ghcr.io/intruder-io/intruder-mcp.

Where can I get an Intruder API key?

API keys can be generated following the instructions in Intruder's developer documentation.

Intruder MCP

securityvulnerabilitiesintrudermcp

MCP server providing access to Intruder for managing security vulnerabilities in infrastructure.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾

No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for intruder-io/intruder-mcp, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.

Overview

This MCP server enables AI clients to interact with Intruder's security platform to identify, understand, and remediate vulnerabilities in your infrastructure. It requires an Intruder API key for authentication and can be run locally using Python or in a Docker container. Use this server when you want to integrate security vulnerability management into AI workflows or automate security checks via MCP clients.

Use cases

Query Intruder for current security vulnerabilities

Automate vulnerability scanning and reporting

Integrate security insights into AI-driven workflows

Remediate identified security issues via AI agents

Key features

Access Intruder vulnerability data via MCP

Supports local Python and Docker deployment

Requires Intruder API key for authentication

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Intruder MCP.

Extracted Tool Capabilities

Access Intruder vulnerability data via MCP

Supports local Python and Docker deployment

Requires Intruder API key for authentication

Documentation Overview

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 two ways to use the MCP server:

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.

Running Locally

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

bash

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:

config.json

{
  "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:

config.json

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

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

4mo ago

Most recent push to the default branch.

Directory activity

1 views

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Frequently Asked Questions about Intruder MCP

You must provide an Intruder API key via the INTRUDER_API_KEY environment variable.

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Technical Specs & Signals

CategorySecurity

PricingBring your own API key (usage-based cost)

10/10 checks healthy over the last 32d

43Quality signal: Fair · 43/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools18/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Overview

Use cases

Query Intruder for current security vulnerabilities

Automate vulnerability scanning and reporting

Integrate security insights into AI-driven workflows

Remediate identified security issues via AI agents

Key features

Access Intruder vulnerability data via MCP

Supports local Python and Docker deployment

Requires Intruder API key for authentication

Documentation Overview

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 two ways to use the MCP server:

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.

Running Locally

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

bash

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:

config.json

{
  "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:

config.json

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