intruder-io/intruder-mcp

Overview

An MCP server that enables AI agents to interact with the Intruder security platform. It exposes Intruder's API through the Model Context Protocol, allowing agents to trigger scans, retrieve results, and manage security operations programmatically.

Best for

Best for
Developers and security teams using Intruder who want to automate scanning workflows through AI agents

Use cases

• Automate vulnerability scanning from an AI agent
• Query scan results and security findings via natural language
• Trigger security assessments as part of a CI/CD pipeline

How to use

Install

uv pip install -e .

Tools exposed

• uv

Tested with

Claude, Cursor

Example client config

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

Notes

An MCP server that enables AI agents to interact with the Intruder security platform. It exposes Intruder’s API through the Model Context Protocol, allowing agents to trigger scans, retrieve results, and manage security operations programmatically.

24 stars on GitHub. Last updated 2026-04-28. Licensed BSD-3-Clause.

Use cases

• Automate vulnerability scanning from an AI agent
• Query scan results and security findings via natural language
• Trigger security assessments as part of a CI/CD pipeline

Pros

• Tight integration with Intruder’s security scanning capabilities
• Simple MCP interface for agent-based automation
• Open source with Python codebase for easy customization

Cons

• Requires an active Intruder subscription and API key
• Limited to Intruder’s supported scan types and targets
• Small community and limited documentation beyond the repo

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.