Which programming languages does this skill support?

The mcp-builder skill provides detailed implementation patterns and guides for both TypeScript (using the MCP SDK) and Python (using FastMCP).

Does it support remote server deployments?

Yes, it covers both stdio transport for local use and streamable HTTP transport for scalable, remote server implementations.

Why is tool naming important in MCP development?

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.

What is a Model Context Protocol (MCP) server?

An MCP server is a specialized application that uses an open standard to allow LLMs like Claude to securely interact with external data, tools, and services.

How do I verify that my MCP server is working correctly?

The skill guides you through using the MCP Inspector for real-time debugging and provides a framework for creating XML-based evaluation questions to test LLM accuracy.

MCP Server Builder

Name: MCP Server Builder
Author: MikeyB03

byMikeyB03

API 개발

Builds high-quality Model Context Protocol (MCP) servers to connect AI models with external APIs and services.

소개

The mcp-builder skill provides a comprehensive framework for developing robust MCP servers using TypeScript or Python. It guides developers through the entire lifecycle—from deep research and API planning to implementation with Zod/Pydantic schemas and rigorous testing using the MCP Inspector. By following standardized best practices for tool naming, context management, and actionable error handling, this skill ensures that LLMs can interact seamlessly and reliably with external data sources and complex workflows.

주요 기능

Standardized tool naming, discoverability, and context management patterns
Integration with MCP Inspector for debugging and transport validation
Best practices for pagination, structured outputs, and error handling
Step-by-step guidance for TypeScript and Python MCP SDK implementations
Automated evaluation generation for testing tool effectiveness and stability
0 GitHub stars

사용 사례

Creating and testing read-write capabilities for local file systems or databases
Developing custom tools for Claude to interact with internal corporate APIs
Building standardized bridges between AI agents and external SaaS platforms

소개

주요 기능

Standardized tool naming, discoverability, and context management patterns
Integration with MCP Inspector for debugging and transport validation
Best practices for pagination, structured outputs, and error handling
Step-by-step guidance for TypeScript and Python MCP SDK implementations
Automated evaluation generation for testing tool effectiveness and stability
0 GitHub stars

사용 사례

Creating and testing read-write capabilities for local file systems or databases
Developing custom tools for Claude to interact with internal corporate APIs
Building standardized bridges between AI agents and external SaaS platforms