What is an MCP server?

An MCP (Model Context Protocol) server is a standardized interface that allows AI models like Claude to securely interact with external data sources, tools, and local environments.

Why use Rust for building MCP servers?

Rust is preferred for MCP servers due to its memory safety, high performance, and excellent concurrency support, which are critical for building reliable production-grade tools.

Can I use these patterns for non-Rust languages?

While the code examples are in Rust, the architectural patterns (Hexagonal, Layered, Repository) and general principles are applicable to any MCP server implementation.

What security patterns does this skill cover?

The skill provides guidance on input validation using the validator crate, secure authentication/authorization, and prevention of SQL injection via parameterized queries.

Does it include help for performance tuning?

Yes, it covers essential performance topics such as database connection pooling, caching strategies with moka, and asynchronous programming best practices.

MCP Server Best Practices

Name: MCP Server Best Practices
Author: EmilLindfors

byEmilLindfors

API 개발

Provides production-grade architecture patterns, security protocols, and performance optimizations for Model Context Protocol servers.

소개

This skill serves as a comprehensive guide for developers building robust Model Context Protocol (MCP) servers, with a specific focus on Rust-based implementations. It offers battle-tested architectural patterns like Hexagonal and Layered designs, alongside deep dives into error handling, input validation, and secure authentication methods. By incorporating these best practices, developers can ensure their MCP servers are not only functional but also scalable, maintainable, and resilient in high-load production environments.

주요 기능

Standardized unit and integration testing patterns for MCP tools
Security best practices for input validation and SQL injection prevention
0 GitHub stars
Performance optimization via connection pooling and caching strategies
Production-ready architecture patterns including Layered and Hexagonal designs
Comprehensive error handling with retry logic and domain-specific error types

사용 사례

Building scalable and secure backends for custom Model Context Protocol servers
Refactoring existing AI tools for improved maintainability and production reliability
Implementing robust security and error recovery in Rust-based Claude extensions

소개

주요 기능

Standardized unit and integration testing patterns for MCP tools
Security best practices for input validation and SQL injection prevention
0 GitHub stars
Performance optimization via connection pooling and caching strategies
Production-ready architecture patterns including Layered and Hexagonal designs
Comprehensive error handling with retry logic and domain-specific error types

사용 사례

Building scalable and secure backends for custom Model Context Protocol servers
Refactoring existing AI tools for improved maintainability and production reliability
Implementing robust security and error recovery in Rust-based Claude extensions