What problem does it solve?
This Skill helps you design, implement, and evaluate Model Context Protocol servers that let AI assistants work with external services through well-structured tools.
Core Features & Use Cases
- Server Planning: Choose the right MCP approach for API coverage, workflow tools, tool naming, transport, and context management.
- Implementation Guidance: Follow practical guidance for building servers in Python with FastMCP or Node/TypeScript with the MCP SDK.
- Quality and Evaluation: Create strong schemas, pagination, error handling, and read-only evaluations that test whether tools are actually useful for real tasks.
- Use Case: Build a production-ready integration for a service such as GitHub, Slack, or a custom internal API, then validate it with structured tests and best practices.
Quick Start
Ask the assistant to help you plan and build an MCP server for your target service using the included guides, scripts, and evaluation workflow.