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awesome -devtools

A curated list of developer tools, SDKs, libraries, and testing utilities for Model Context Protocol (MCP) server development.

Installation
Run this command in your terminal to add the MCP server to Claude Code.
Run in terminal:
Command
claude mcp add --transport stdio punkpeye-awesome-mcp-devtools node path/to/server.js

How to use

Awesome MCP DevTools is a curated collection of utilities and libraries intended to help developers build, test, and debug MCP (Model Context Protocol) servers. The tools showcased span multiple languages and ecosystems, offering frameworks, SDKs, and development utilities to accelerate MCP server creation and maintenance. Use the repository as a reference to discover language-specific SDKs, testing utilities, and integration helpers that streamline common MCP tasks such as tool calling, agent orchestration, analytics, and debugging workflows. The included categories guide you to the right tool for your stack, whether you’re implementing a server in TypeScript, Python, Java, or another language, and provide quick paths to examples and documentation.

How to install

Prerequisites:

  • Ensure you have the runtime environment for your chosen MCP development stack (Node.js for JavaScript/TypeScript, Python, Java, etc.).
  • Install any required package managers (npm/yarn for Node, pip/pipx for Python, Maven/Gradle for Java, etc.).

Installation steps (example workflow, adapt to your language of choice):

  1. Node.js/TypeScript example:

    • Install dependencies: npm install
    • Install the MCP server package (if applicable): npm install @example/mcp-server
    • Run the server: npm run start
  2. Python example:

    • Create a virtual environment: python -m venv venv
    • Activate it: source venv/bin/activate (Linux/macOS) or venv\Scripts\activate (Windows)
    • Install dependencies: pip install -r requirements.txt
    • Run the server: python -m your_mcp_module
  3. Java example:

    • Use Maven: mvn clean package
    • Run the server: java -jar target/your-mcp-server.jar

If using a prebuilt Docker image or uv/uvicorn, follow the specific instructions in the corresponding SDK/package documentation for containerized or serverless deployment.

Additional notes

Tips and common considerations:

  • Check MCP server compatibility with your MCP version and protocol specs before integrating tools.
  • Some SDKs provide tool calling or agent orchestration features; verify configuration options for API keys, authentication, and logging.
  • Environment variables: you may need to set MCP_ENDPOINT, API_TOKEN, or debug flags depending on the deployment environment.
  • When testing locally, use isolated environments (virtualenv, npm yvm, or Docker) to avoid dependency conflicts.
  • If you encounter issues, consult the SDK's GitHub issues or examples directory for known workarounds and configuration presets.

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