Practice
byIjongwon
0Provides a structured environment for building custom tools and servers compatible with the Model Context Protocol (MCP) using mcp-framework.
About
This repository serves as a foundational boilerplate and learning environment for developers aiming to create specialized tools and servers that adhere to the Model Context Protocol (MCP). Built upon mcp-framework, it offers a clear project structure, an example tool, and command-line utilities to simplify the creation and management of custom components. The guide covers the full lifecycle, from tool development and local testing to publishing on npm and integrating with AI clients such as Claude Desktop, empowering users to extend the functionality of their AI assistants.
Key Features
- Structured example for developing custom MCP tools with Zod schema validation
- Clear guidelines for publishing tools as npm packages
- CLI for rapid tool creation (e.g., data-processor, API client, file handler)
- Boilerplate for MCP server and tool development
- 0 GitHub stars
- Detailed instructions for integrating local or published tools with Claude Desktop
Use Cases
- Learning and practicing the development of Model Context Protocol tools
- Creating custom data processing or API interaction modules for AI agents
- Extending the capabilities of AI assistants like Claude Desktop with specialized functions
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