HydraΜCP lightweight cybersecurity toolkit enabling AI-assisted security testing and analysis through the Model Context Protocol
HydraΜCP is a lightweight, extensible cybersecurity toolkit that connects AI assistants to security tools through the Model Context Protocol (MCP). This server enables AI applications such as Claude Desktop, Continue, and Cursor to interact with various data sources and tools via a standardized protocol. By leveraging HydraΜCP, these AI applications can perform tasks like network scanning, SQL injection testing, and email verification in an efficient and secure manner.
HydraΜCP offers a range of features that make it ideal for AI-driven security research and analysis. These include:
Sublist3r - Use Sublist3rScanner to find all subdomains for example.com and save results to the "recon" folder.
MCP architecture allows AI applications and servers to communicate through a standardized interface. HydraΜCP implements this protocol with the following key components:
Protocol Flow: The protocol flow starts from an AI application (such as Claude Desktop) which sends commands via the MCP client, then these commands are processed by the MCP server before interacting with specific tools or data sources.
Data Architecture: Data is transmitted in a structured format, ensuring compatibility and interoperability across different systems and services.
To get started with HydraΜCP, follow these steps:
Clone the repository:
git clone https://github.com/happyhackingspace/mcp-hydra.git
Navigate to the project directory:
cd mcp-hydra
Build the Docker image:
docker build -t hydramcp .
AI-Driven Security Research: HydraΜCP allows AI applications like Claude Desktop to quickly identify potential security issues by leveraging tools such as Sublist3r for domain enumeration or Nmap for network scanning.
Automated Threat Detection and Analysis: By combining the power of multiple cybersecurity tools, HydraΜCP can help in automating threat detection and providing comprehensive analysis reports.
HydraΜCP is compatible with a range of AI applications including:
MCP Client | Resources | Tools | Prompts |
---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ |
Continue | ✅ | ✅ | ✅ |
Cursor | ❌ | ✅ | ❌ |
HydraΜCP demonstrates excellent performance and compatibility with various tools and AI clients. The following table illustrates its current state of development and support:
Tool | Status |
---|---|
Sublist3r | ✅ |
DNSRecon | ✅ |
Holehe | ✅ |
Nmap | ✅ |
OCR2Text | ✅ |
Sqlmap | ✅ |
WPScan | ✅ |
Zmap | ✅ |
For advanced users, HydraΜCP provides a detailed configuration guide that covers:
Environment Variables: Set up environment variables to customize server behavior.
"mcpServers": {
"[server-name]": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-[name]"],
"env": {
"API_KEY": "your-api-key"
}
}
}
Security Hardening: Tips and best practices for securing the server, including network segmentation and regular updates.
How do I use HydraΜCP with My AI Application?
Which Tools are Currently Supported by HydraΜCP?
Can I Integrate Additional Tools with HydraΜCP?
What are the Security Best Practices for Using MCP Servers?
Is There Documentation for Using HydraΜCP with Different AI Applications?
If you are interested in contributing to this project, follow these steps:
git checkout -b feature-branch
).git commit -m 'Add some feature'
).git push origin feature-branch
).Join the community of developers building on the MCP protocol by visiting:
By integrating HydraΜCP with your AI applications, you can harness the power of Model Context Protocol to enhance security research, automate threat detection, and streamline workflows. Whether you are an experienced developer or just starting out, this document provides a comprehensive guide to leveraging HydraΜCP for your projects. Happy hacking!
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