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

0•

API Development

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

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.

Key Features

01Standardized unit and integration testing patterns for MCP tools

02Security best practices for input validation and SQL injection prevention

030 GitHub stars

04Performance optimization via connection pooling and caching strategies

05Production-ready architecture patterns including Layered and Hexagonal designs

06Comprehensive error handling with retry logic and domain-specific error types

Use Cases

01Building scalable and secure backends for custom Model Context Protocol servers

02Refactoring existing AI tools for improved maintainability and production reliability

03Implementing robust security and error recovery in Rust-based Claude extensions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add emillindfors/claude-marketplace mcp-best-practices

For use in Claude.ai and ChatGPT

Download Skill