Why are tool descriptions important in MCP?

Clear, descriptive tool names and summaries help AI models understand when and how to use a specific tool, significantly improving the agent's success rate.

Does this skill support both Python and TypeScript?

Yes, it provides detailed implementation patterns for both the TypeScript SDK and Python's FastMCP framework, including project structure and dependency management.

What transport methods are covered?

The guide covers stdio transport for local server development and streamable HTTP (using stateless JSON) for remote server deployments.

What is an MCP server?

An MCP (Model Context Protocol) server is a standardized interface that allows Large Language Models to securely interact with external data sources, tools, and services.

How do I ensure my MCP server is reliable?

The skill includes an Evaluation Phase (Phase 4) that guides you through creating 10 complex, realistic test questions to verify your tools work as expected.

MCP Server Builder

Name: MCP Server Builder
Author: gizatechxyz

bygizatechxyz

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API 开发

Guides the creation of high-quality Model Context Protocol (MCP) servers to connect LLMs with external services and APIs.

The mcp-builder skill provides a comprehensive framework for developing robust MCP servers in both TypeScript and Python. It streamlines the development lifecycle—from initial API research and tool design to implementation and rigorous evaluation—ensuring that your integrations are highly discoverable and reliable for AI agents. By following standardized patterns for schema definition, context management, and actionable error handling, developers can create professional-grade tools that allow Claude and other models to interact seamlessly with any external data source.

主要功能

01Built-in guidance for transport selection between stdio and HTTP

02Framework for creating complex evaluation questions to verify tool performance

032 GitHub stars

04Standardized patterns for Zod and Pydantic input/output schemas

05Best practices for tool naming, discoverability, and context management

06Support for TypeScript (MCP SDK) and Python (FastMCP) development

使用场景

01Developing standardized data connectors for AI-driven research and analysis

02Exposing internal business APIs to Claude for automated task execution

03Building custom integrations for SaaS platforms not natively supported

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gizatechxyz/giza-hub mcp-builder

For use in Claude.ai and ChatGPT