awesome -security

This repository appears to be a documentation resource focused on Model Context Protocol (MCP) security rather than a single runnable MCP server. There is no listed MCP server to launch in the README, so there is no specific server configuration to execute. Use this collection as a reference for security considerations, threat models, and external resources related to MCP. If you plan to run your own MCP server, refer to the MCP documentation for your chosen runtime (node, python, docker, etc.) and adapt the general security guidance here to your implementation. When exploring tools and code mentioned in the related materials, treat them as references for threat modeling, secure tool invocation, and auditing practices rather than as an out-of-the-box server to run from this repository.

Prerequisites:

• A working development environment with access to the internet
• Basic familiarity with MCP concepts and the tooling stack you intend to use (Node.js, Python/uv, Docker, etc.)

Steps:

1. Clone the repository: git clone https://github.com/slug/puliczek-awesome-mcp-security.git cd puliczek-awesome-mcp-security
2. Review the README and any docs in the repo to identify the intended runtime and setup pattern for an MCP server (if provided).
3. If you plan to host a local MCP server, install the runtime corresponding to your chosen approach (Node.js, Python, Docker, etc.). For example:
   • Node.js projects typically require install dependencies with npm install and running via node path/to/server.js or npm start, depending on the package.json configuration.
   • Python-based servers may require python -m <module> or uvx/uvicorn commands for ASGI/WSGI apps.
   • Docker-based deployments require docker and a suitable docker run command.
4. Follow any specific setup instructions provided in the repository’s docs to configure environment variables, security settings, and tool access controls.
5. Start the server according to the chosen runtime and verify it’s reachable at the expected endpoint.

If the repository provides a concrete example or a starter project, follow those exact steps; the general steps above are placeholder guidance for typical MCP server runtimes.

Notes and best practices to consider when working with MCP security tooling:

• Always validate all tool inputs and sanitize outputs to prevent data leakage.
• Implement proper access controls and rate limiting for tool invocations.
• Use explicit environment variables for configuration and avoid embedding secrets in code.
• When integrating with MCP, consider human-in-the-loop (HITL) prompts and clear tool usage indicators in the UI to minimize misuse.
• If you introduce new tools or endpoints, document their annotations and trust boundaries, and ensure they are auditable.
• Keep monitoring and logging enabled for security-relevant actions to support incident response and forensics.