Does this skill support both Python and Node.js?

Yes, mcp-builder includes specific implementation guides and best practices for both Python (FastMCP) and Node/TypeScript environments.

Can mcp-builder help me test my tools?

Yes, it includes a dedicated evaluation phase (Phase 4) that guides you through creating complex, realistic test scenarios and automated QA pairs to verify your server's reliability.

What is an MCP server?

An MCP (Model Context Protocol) server is a specialized service that provides tools and resources, allowing LLMs like Claude to interact with external APIs, databases, and local files.

How does agent-centric design improve my MCP server?

It focuses on creating tools that mirror human workflows rather than simple API endpoints, optimizes data for the AI's context window, and provides actionable error messages that help the AI self-correct.

MCP Server Builder

Name: MCP Server Builder
Author: codethread

bycodethread

API 开发

Guides the development of high-quality Model Context Protocol (MCP) servers using agent-centric design principles for Python and TypeScript.

关于

The mcp-builder skill is a comprehensive architectural guide designed to help developers create robust MCP servers that enable Claude to interact seamlessly with external APIs and services. It provides a structured four-phase workflow covering deep research, implementation best practices for both Python (FastMCP) and Node/TypeScript, code review, and evaluation. By focusing on agent-centric design—prioritizing workflows over raw endpoints and optimizing for context window constraints—this skill ensures that custom tools are intuitive, reliable, and highly effective for AI agents.

主要功能

Comprehensive evaluation framework for verifying tool performance with realistic QA pairs
0 GitHub stars
Standardized input validation templates using Pydantic and Zod schemas
Step-by-step workflow for Python and TypeScript MCP server implementation
Integrated documentation fetching for the latest MCP protocol specifications
Agent-centric design patterns to optimize tools for limited context windows

使用场景

Establishing standardized development practices for team-wide MCP server creation
Integrating proprietary internal APIs into Claude Code as specialized tools
Refactoring existing API wrappers into workflow-oriented tools for AI agents

关于

主要功能

Comprehensive evaluation framework for verifying tool performance with realistic QA pairs
0 GitHub stars
Standardized input validation templates using Pydantic and Zod schemas
Step-by-step workflow for Python and TypeScript MCP server implementation
Integrated documentation fetching for the latest MCP protocol specifications
Agent-centric design patterns to optimize tools for limited context windows

使用场景

Establishing standardized development practices for team-wide MCP server creation
Integrating proprietary internal APIs into Claude Code as specialized tools
Refactoring existing API wrappers into workflow-oriented tools for AI agents