
intruder-mcpAn MCP server to let AI agents control Intruder
Overview
Key features
- MCP server for AI agent control
- Local and Docker container deployment options
- Intruder API key integration
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Automated Security Testing
Use Intruder MCP to automate security testing and vulnerability assessment with AI agents.
Integration with MCP Clients
Integrate Intruder MCP with MCP clients like Claude and Cursor to enable AI-driven security testing.
Pros & Cons
Pros
- Enables AI agents to control Intruder for automated security testing
- Can be run locally or in a Docker container for flexibility
- Supports MCP clients like Claude and Cursor
Cons
- Requires an Intruder API key to function
- Limited information available on specific features and use cases
Reviews
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Q&A
Is intruder-mcp free to use?
Yes, intruder-mcp is open-source under the BSD-3-Clause license, so you can use, modify, and deploy it without cost, provided you comply with the license terms.
Asked by Noor Siddiqui · Feb 18, 2026
What is required to use intruder-mcp?
An active Intruder API key is mandatory. You generate this key via the Intruder documentation, then provide it in the server configuration as the INTRUDER_API_KEY environment variable.
Asked by Beatriz Costa · Jan 8, 2026
Which MCP clients are compatible with intruder-mcp?
The project explicitly supports MCP clients such as Claude and Cursor. You can add the server configuration to their MCP client settings following the examples in the README.
Asked by Idris Suleiman · Jan 8, 2026
How do I deploy intruder-mcp on my own machine?
You can run it locally using Python: install uv, clone the repo, run `uv venv` and `uv pip install -e .`, then configure your MCP client with the path to the repo and set the INTRUDER_API_KEY environment variable. Alternatively, use Docker by pulling the image from ghcr.io/intruderio/intruder-mcp and running it with the API key as an env variable.
Asked by Marcus Bell · Nov 14, 2025
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