How do I test my MCP server?

The guide recommends using the MCP Inspector for interactive testing and provides a framework for creating XML-based evaluation datasets to verify tool effectiveness.

Does this skill support Python and TypeScript?

Yes, it includes detailed implementation guides and patterns for both the TypeScript MCP SDK and Python's FastMCP framework.

What is an MCP server?

An MCP (Model Context Protocol) server is a specialized service that allows Large Language Models (LLMs) to interact with external tools, APIs, and data sources through a standardized protocol.

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

Comprehensive coverage maps individual API endpoints, providing maximum flexibility, while workflow tools combine multiple actions into high-level tools for specific common tasks.

Why is tool naming important in MCP?

Clear, action-oriented naming (e.g., github_create_issue) ensures that AI agents can easily discover and select the correct tool for a specific task.

MCP Server Builder

Name: MCP Server Builder
Author: kjgarza

bykjgarza

API開発

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

概要

MCP Server Builder provides a comprehensive framework and set of best practices for creating robust Model Context Protocol (MCP) servers using TypeScript or Python. It streamlines the entire development lifecycle—from initial API research and transport selection to implementing tool schemas and generating rigorous evaluation datasets. This skill ensures that your custom MCP integrations are discoverable, efficient, and reliable, enabling LLMs like Claude to interact seamlessly with external APIs and data sources through well-defined tools and actionable error handling.

主な機能

Comprehensive testing strategies using the MCP Inspector and custom evaluation suites
Detailed schema patterns using Zod or Pydantic for structured tool interactions
Optimization guidelines for tool naming, discoverability, and context management
Phase-based workflow for MCP server research, planning, and implementation
Cross-platform support for TypeScript (MCP SDK) and Python (FastMCP) environments
0 GitHub stars

ユースケース

Building a custom integration to allow Claude to interact with internal company APIs
Developing evaluation frameworks to benchmark and improve MCP tool performance
Creating robust MCP servers for popular SaaS platforms to expand agent capabilities

概要

主な機能

Comprehensive testing strategies using the MCP Inspector and custom evaluation suites
Detailed schema patterns using Zod or Pydantic for structured tool interactions
Optimization guidelines for tool naming, discoverability, and context management
Phase-based workflow for MCP server research, planning, and implementation
Cross-platform support for TypeScript (MCP SDK) and Python (FastMCP) environments
0 GitHub stars

ユースケース

Building a custom integration to allow Claude to interact with internal company APIs
Developing evaluation frameworks to benchmark and improve MCP tool performance
Creating robust MCP servers for popular SaaS platforms to expand agent capabilities