What tools are included in Mcp-Hydra?
Mcp-Hydra currently includes Sublist3r, DNSRecon, Holehe, Nmap, OCR (optical character recognition), Sqlmap, WPScan, and Zmap.
@atiilla
Basic information
A lightweight, extensible cybersecurity toolkit that connects AI assistants to security tools through the Model Context Protocol (MCP), enabling AI-assisted security research, scanning, and analysis.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"hydramcp": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--name",
"hydramcp",
"hydramcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Mcp-Hydra is a lightweight, extensible cybersecurity toolkit that connects AI assistants to security tools through the Model Context Protocol (MCP), enabling AI-assisted security research, scanning, and analysis. It is designed for security researchers and penetration testers who want to leverage AI for automated reconnaissance and vulnerability assessment.
Build the Docker image from the repository (git clone, docker build), then add the server configuration to your AI client’s MCP settings (e.g., claude_desktop_config.json for Claude Desktop, or .vscode/mcp.json for VS Code Copilot). The server runs inside a Docker container using the command docker run --rm -i --name hydramcp hydramcp.
Mcp-Hydra currently includes Sublist3r, DNSRecon, Holehe, Nmap, OCR (optical character recognition), Sqlmap, WPScan, and Zmap.
Clone the repository, then build the Docker image with `docker build -t hydramcp .`. No additional dependencies are required beyond Docker.
Mcp-Hydra works with any MCP-compatible client, such as Claude Desktop and VS Code Copilot, by configuring the server in their JSON settings.
Yes, it is open-source under the MIT license, and contributions are welcome via forking and pull requests.
Planned tools include gobuster, TheHarvester, Shodan, Nuclei, Amass, and more, as listed in the project’s changelog.

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