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Provides a comprehensive server template for building AI model integrations with Fastify, following official Model Context Protocol (MCP) TypeScript SDK best practices.
About
This repository serves as a robust and comprehensive template for developing Model Context Protocol (MCP) servers using TypeScript and Fastify. It meticulously follows the official MCP TypeScript SDK best practices, offering a solid foundation for creating custom AI model integrations. Developers can leverage its pre-configured structure, including example tools, resources, and prompts, alongside robust development and deployment tools like Docker, ESLint, and Prettier, to accelerate the creation of their own production-ready MCP services.
Key Features
- Comprehensive TypeScript MCP Server Template
- 0 GitHub stars
- Built with Fastify for high performance and efficiency
- Containerized with Docker and supports CI/CD via GitHub Actions
- Adheres to official MCP TypeScript SDK best practices
- Includes example MCP tools, resources, and prompts with Zod validation
Use Cases
- Developing robust and production-ready AI agent backend services
- Rapidly initiating new Model Context Protocol (MCP) server projects
- Integrating AI models with custom tools, data sources, and prompts
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