How do I evaluate my MCP server's performance?

The skill includes a dedicated evaluation phase where you create 10 complex, realistic QA pairs to verify the server's stability and accuracy.

Is this skill compatible with other AI editors?

Yes, while designed for Claude Code, these patterns and guides are compatible with OpenCode, Cursor, Antigravity, and Gemini CLI.

What is the Model Context Protocol (MCP)?

MCP is an open standard that enables AI models to securely interact with external data sources and tools through a unified protocol.

Which programming languages are supported for MCP development?

This skill provides detailed implementation guides and best practices for both Python (using FastMCP) and Node/TypeScript (using the MCP SDK).

What is agent-centric design in MCP?

It is a design philosophy that optimizes tools for AI usage by consolidating operations, minimizing token usage, and providing clear, actionable error messages.

MCP Server Builder

Name: MCP Server Builder
Author: NeoLabHQ

byNeoLabHQ

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542

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API Development

Guides the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external services.

The Build-MCP skill is a comprehensive framework designed to help developers architect, implement, and evaluate robust MCP servers. It focuses on agent-centric design principles, ensuring that tools are optimized for limited context windows and provide high-signal responses. By providing structured workflows for both Python (FastMCP) and Node/TypeScript, this skill enables the creation of production-grade bridges between AI agents and external APIs, complete with standardized error handling and automated evaluation harnesses to guarantee reliability.

Key Features

01Agent-centric tool design principles to minimize context usage

02Dual-language support for Python and Node/TypeScript SDK implementations

03Standardized response formatting for both JSON and Markdown outputs

04Structured error handling patterns for actionable agent feedback

05542 GitHub stars

06Integrated evaluation framework for testing tool performance with real-world scenarios

Use Cases

01Building custom API bridges to connect Claude Code to internal business logic

02Developing specialized documentation tools that allow LLMs to search external knowledge bases

03Standardizing MCP server development across teams with shared best practices

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add neolabhq/context-engineering-kit build-mcp

For use in Claude.ai and ChatGPT

Download Skill