This repository provides curated MCP best-practices documentation for building MCP Servers and Clients. It does not appear to implement a runnable MCP server in itself, but describes conventions and patterns you can apply when you develop your own MCP server. You can use the guidance to design your server tools (naming conventions, aliases, description standards) and to structure rich server instructions that your MCP clients can surface in their UI. When integrating into an MCP environment, you would expose your tools in a way that aligns with the recommended naming formats (camelCase, kebab-case, or snake_case), provide descriptive tool text with practical usage notes, and avoid returning explicit “not found” responses so that clients can surface relevant results more effectively. The content also emphasizes packaging and deployment considerations, including Docker packaging, security-oriented practices, and observability tips that you can apply to your own MCP server implementation.

Prerequisites:

• Node.js or Python installed (depending on how you plan to implement your MCP server)
• Git for cloning repositories
• Access to a terminal/command prompt

Option A: Setting up a local clone for reference and development

1. Clone the repository: git clone https://github.com/ lirantal-awesome-mcp-best-practices.git
2. Navigate into the project: cd lirantal-awesome-mcp-best-practices
3. Install dependencies (if any exist in the project): npm install

   or if Python-based tooling is used, set up a virtual environment and install requirements

4. Review the README and source files to implement your own MCP server following the stated conventions.

Option B: Prepare for production deployment (Docker)

1. Create or adapt a Dockerfile based on your chosen runtime (Node.js or Python).
2. Build the image: docker build -t awesome-mcp-best-practices .
3. Run a container: docker run -it --rm awesome-mcp-best-practices

Notes:

• The repository is primarily documentation and guidelines for MCP server design. There may not be a runnable server out of the box.
• If you intend to deploy, follow the suitable runtime setup (Node.js or Python) and implement the server logic as described in the guidelines.

Tips and considerations:

• Follow the recommended tool naming conventions (camelCase preferred) to ensure discoverability by MCP clients.
• Provide aliases and descriptive tool descriptions to help LLMs choose the right tool for a given user intent.
• Avoid explicit not-found responses in search-type tools; instead, surface relevant alternatives or related data.
• When packaging, consider containerization (Docker) and security best practices for dependencies.
• If you introduce environment variables required by tools, document them clearly in tool descriptions and ensure your MCP client config provides them up-front.
• This repository focuses on best practices rather than a production-ready server; adapt guidance to your actual codebase and tooling.