What is an MCP server?

An MCP (Model Context Protocol) server is a specialized service that provides tools and resources to LLMs, allowing them to interact securely with external data and APIs through a standardized interface.

Does this skill support both Python and TypeScript?

Yes, it includes detailed implementation guides, best practices, and project structures for both the Python (FastMCP) and Node/TypeScript MCP SDKs.

How does agent-centric design improve MCP tools?

It focuses on building tools for entire workflows rather than single endpoints, optimizes response data for limited context windows, and provides actionable error messages that help agents self-correct.

How can I test the MCP servers I build?

The skill guides you through creating a comprehensive evaluation suite with complex, realistic QA pairs to verify that the agent can effectively use your tools to solve multi-step problems.

MCP Server Builder

Name: MCP Server Builder
Author: lifangda

bylifangda

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API Development

Guides developers through building high-quality Model Context Protocol (MCP) servers to connect AI agents with external APIs and services.

About

The MCP Server Builder skill provides a comprehensive framework for creating robust Model Context Protocol (MCP) servers in Python or TypeScript. It shifts the focus from simple API wrapping to agent-centric design, ensuring tools are optimized for LLM context windows, provide actionable error messages, and support complex workflows. From initial research and SDK implementation to final evaluation and testing, this skill ensures your MCP servers are production-ready and highly effective for AI-driven automation.

Key Features

Multi-language support for Python (FastMCP) and Node/TypeScript SDKs
Standardized patterns for error handling and LLM-friendly responses
Agent-centric tool design principles for workflow optimization
Context window optimization and token management strategies
Automated evaluation framework for testing tool effectiveness
16 GitHub stars

Use Cases

Developing custom MCP servers to integrate internal databases with Claude
Creating high-performance Python-based tools using the FastMCP framework
Building robust TypeScript connectors for third-party SaaS APIs

About

Key Features

Multi-language support for Python (FastMCP) and Node/TypeScript SDKs
Standardized patterns for error handling and LLM-friendly responses
Agent-centric tool design principles for workflow optimization
Context window optimization and token management strategies
Automated evaluation framework for testing tool effectiveness
16 GitHub stars

Use Cases

Developing custom MCP servers to integrate internal databases with Claude
Creating high-performance Python-based tools using the FastMCP framework
Building robust TypeScript connectors for third-party SaaS APIs