How to Create a Model Context Protocol (MCP) Server

What is How to Create a Model Context Protocol (MCP) Server?

This repository is a comprehensive guide for creating Model Context Protocol (MCP) servers. MCP is a standardized protocol that enables AI models to interact with external tools and services. It is intended for developers who want to build MCP servers.

How to use How to Create a Model Context Protocol (MCP) Server?

To use this guide, follow the implementation steps and best practices provided. You will need Node.js, a basic understanding of REST APIs, familiarity with async/await patterns, and knowledge of JSON schemas.

Key features of How to Create a Model Context Protocol (MCP) Server

• Comprehensive guide for creating MCP servers
• Covers tool definitions and request/response flow
• Includes authentication and security best practices
• Provides implementation examples for various tools
• Emphasizes TypeScript, error handling, and logging
• Open source under MIT License

Use cases of How to Create a Model Context Protocol (MCP) Server

• Building a basic tool server for AI model interactions
• Integrating external APIs with standardized MCP interfaces
• Creating file operation tools for model access to filesystem
• Developing database operation tools for data retrieval

FAQ from How to Create a Model Context Protocol (MCP) Server

What is MCP?

MCP is a standardized protocol for AI models to interact with external tools and services in a consistent way.

What are the prerequisites for creating an MCP server?

You need Node.js, basic understanding of REST APIs, familiarity with async/await patterns, and understanding of JSON schemas.

What example implementations are provided?

Examples include basic tool server, file operation tools, API integration tools, and database operation tools.

How can I contribute to this guide?

Contributions are welcome via pull requests or issues for any improvements or suggestions.

What is the license?

This project is licensed under the MIT License.