Which programming languages are supported by this skill?

The skill provides detailed implementation patterns and best practices for both TypeScript (using the MCP SDK) and Python (using FastMCP).

What is the difference between comprehensive API coverage and workflow tools?

Comprehensive coverage provides basic endpoints for agent flexibility, while workflow tools combine operations for efficiency. This skill helps you balance both for optimal performance.

What is the MCP Server Builder skill?

It is a specialized guide and workflow enhancer for Claude Code that helps developers research, implement, and evaluate Model Context Protocol (MCP) servers to extend LLM capabilities.

How does this skill help with testing MCP servers?

It guides you through using the MCP Inspector for manual verification and provides a structured process for creating 10+ complex, XML-formatted evaluation pairs to ensure model reliability.

MCP Server Builder

Name: MCP Server Builder
Author: kangnam7654

bykangnam7654

0•

API Development

Guides developers through the end-to-end process of building, testing, and evaluating high-quality Model Context Protocol (MCP) servers.

The MCP Server Builder skill provides a comprehensive architectural framework for creating robust Model Context Protocol servers that enable LLMs to interact with external services. It streamlines the development lifecycle by offering best practices for tool design, context management, and error handling. Whether using TypeScript with the official SDK or Python with FastMCP, this skill ensures your integrations are discoverable, scalable, and rigorously tested through built-in evaluation strategies.

Key Features

01Dual-language support for TypeScript and Python implementations

02Schema-driven development using Zod and Pydantic

03Structured evaluation framework for verifying LLM performance

04Comprehensive workflow for MCP server lifecycle management

05Standardized tool naming and discoverability guidelines

060 GitHub stars

Use Cases

01Creating complex agents that require multi-step tool orchestration

02Building custom connectors to integrate proprietary internal APIs with Claude

03Developing production-grade MCP servers for third-party SaaS platforms

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kangnam7654/ai-config-sync mcp-builder

For use in Claude.ai and ChatGPT

Key Features

01Dual-language support for TypeScript and Python implementations

02Schema-driven development using Zod and Pydantic

03Structured evaluation framework for verifying LLM performance

04Comprehensive workflow for MCP server lifecycle management

05Standardized tool naming and discoverability guidelines

060 GitHub stars

Use Cases

01Creating complex agents that require multi-step tool orchestration

02Building custom connectors to integrate proprietary internal APIs with Claude

03Developing production-grade MCP servers for third-party SaaS platforms

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add kangnam7654/ai-config-sync mcp-builder

For use in Claude.ai and ChatGPT