MCPWner
Model Context Protocol server for autonomous vulnerability discovery
What is MCPWner?
MCPWner is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to model context protocol server for autonomous vulnerability discovery
Model Context Protocol server for autonomous vulnerability discovery
This server falls under the Security category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Model Context Protocol server for autonomous vulnerability d
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcpwnerConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCPWner
MCPwner is a Docker-based MCP server that gives AI assistants autonomous vulnerability discovery capabilities across a full security research toolchain. It integrates reconnaissance tools (Subfinder, Nmap, ffuf), SAST scanners (CodeQL, Semgrep, Bandit), secrets detectors (Gitleaks, TruffleHog), SCA analyzers (Grype, Syft), and IaC checkers (Checkov, Terrascan) into a single unified interface. Security researchers and penetration testers use it to let Claude chain these tools automatically—running reconnaissance, correlating findings, and building attack paths without manual tool switching.
Prerequisites
- Docker Engine 20.10+ and Docker Compose 2.0+ installed
- Minimum 8 GB RAM (16 GB recommended) and 20 GB free disk space
- An MCP-compatible client such as Claude Desktop, Cursor, or VS Code with MCP support
- Git to clone the repository
Clone the repository
Clone the MCPwner repository from GitHub and enter the project directory.
git clone https://github.com/Pigyon/MCPwner.git
cd MCPwnerCreate the configuration file
Copy the example config to create your own configuration file. Edit config/config.yaml to set any required options for your environment.
cp config/config.yaml.example config/config.yamlBuild and start the Docker containers
Use Docker Compose to build the image and start the MCPwner server container in the background. All security tools are bundled inside the container.
docker-compose up -d --buildConfigure your MCP client
Add MCPwner to your MCP client configuration. The server runs inside Docker so the command connects via docker exec to the running container.
Verify the server is running
Check that the container is up and that the security tools are available by listing the tool inventory.
docker ps | grep mcpwnerMCPWner Examples
Client configuration
Add this block to your claude_desktop_config.json to connect Claude Desktop to the running MCPwner container.
{
"mcpServers": {
"mcpwner": {
"command": "docker",
"args": ["exec", "-i", "mcpwner-server", "python", "src/server.py"]
}
}
}Prompts to try
Example prompts that leverage MCPwner's chained security scanning capabilities.
- "Enumerate subdomains for example.com, then port-scan the live hosts and summarize open services"
- "Run a SAST scan on the /workspace/myapp directory and report high-severity findings"
- "Scan this GitHub repository for leaked secrets using Gitleaks and TruffleHog"
- "Check the Terraform files in /workspace/infra for IaC misconfigurations"
- "Run a full reconnaissance chain on target.com and build an attack surface map"Troubleshooting MCPWner
Docker container exits immediately after starting
Check logs with 'docker logs mcpwner-server'. Ensure you have at least 8 GB RAM free; the bundled security tools require substantial memory during builds.
MCP client cannot connect to the server
Confirm the container name matches what is in your config ('mcpwner-server' by default). Run 'docker ps' to verify the container is running before starting your MCP client.
Tool not found errors during scans
Rebuild the image with 'docker-compose build --no-cache' to ensure all tools were installed correctly during the image build step.
Frequently Asked Questions about MCPWner
What is MCPWner?
MCPWner is a Model Context Protocol (MCP) server that model context protocol server for autonomous vulnerability discovery It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCPWner?
Follow the installation instructions on the MCPWner GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCPWner?
MCPWner works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCPWner free to use?
Yes, MCPWner is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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