How does this skill improve tool discoverability?

It implements standardized naming conventions and descriptive metadata patterns that help AI agents quickly identify and correctly utilize the right tools for a given task.

How can I verify my MCP server is working correctly?

The skill includes a dedicated phase for testing using the MCP Inspector and a framework for creating complex, verifiable evaluation pairs to test real-world effectiveness.

What languages does this MCP builder skill support?

The skill provides specialized guides and implementation patterns for both Python (using the FastMCP framework) and TypeScript/Node.js environments.

Does it support both local and remote MCP servers?

Yes, the guide includes instructions for various transport mechanisms, including stdio for local servers and streamable HTTP for remote deployments.

MCP Server Builder

Name: MCP Server Builder
Author: Zhang-Haoran

byZhang-Haoran

API 개발

Guides the development of high-quality Model Context Protocol (MCP) servers to connect AI models with external tools and services.

소개

The MCP Server Builder skill provides a comprehensive framework for architecting, implementing, and testing Model Context Protocol (MCP) servers. It offers domain-specific guidance for both Python (FastMCP) and TypeScript/Node.js environments, ensuring developers follow best practices for tool naming, context management, and error handling. By providing standardized workflows and evaluation patterns, this skill helps developers create robust integrations that allow LLMs to interact seamlessly with external APIs and data sources while maintaining high performance and discoverability.

주요 기능

Actionable error message patterns for improved agent interaction
Guidelines for efficient pagination and context management
Comprehensive evaluation framework for testing server effectiveness
Standardized development workflows for Python and TypeScript SDKs
Best practices for tool naming, schema design, and discoverability
0 GitHub stars

사용 사례

Building custom MCP servers to integrate internal APIs with Claude
Migrating legacy toolsets to the Model Context Protocol standard
Optimizing tool performance and reliability for agent-based workflows

소개

주요 기능

Actionable error message patterns for improved agent interaction
Guidelines for efficient pagination and context management
Comprehensive evaluation framework for testing server effectiveness
Standardized development workflows for Python and TypeScript SDKs
Best practices for tool naming, schema design, and discoverability
0 GitHub stars

사용 사례

Building custom MCP servers to integrate internal APIs with Claude
Migrating legacy toolsets to the Model Context Protocol standard
Optimizing tool performance and reliability for agent-based workflows