Mcp Builder

What it does

This skill assists in developing high-quality MCP (Model Context Protocol) servers, which enable Large Language Models (LLMs) to interact with external services and APIs. It guides users through a structured process of designing tools that facilitate LLMs accomplishing real-world tasks by focusing on workflow optimization and adhering to agent-centric design principles. The skill emphasizes building thoughtful workflows rather than simply wrapping existing API endpoints.

When to use it

• When you need to create tools for AI agents that go beyond simple API calls, enabling complete task execution.
• When designing APIs for LLMs where context window limitations are a key consideration.
• When developing MCP servers and needing guidance on best practices and protocol adherence.

Key capabilities

• Agent-Centric Design Principles: Provides guidelines for building tools that consider workflows, limited context, actionable error messages, and natural task subdivisions.
• MCP Protocol Documentation Access: Facilitates loading the official MCP specification from https://modelcontextprotocol.io/llms-full.txt.
• Framework Documentation Access: Guides users to load relevant documentation for Python (https://raw.githubusercontent.com/modelcontextprotocol/python-sdk/main/README.md) and TypeScript implementations.
• Evaluation-Driven Development: Encourages creating evaluation scenarios and iterating based on agent performance feedback.

Example prompts

• "Guide me through the first phase of MCP server development, focusing on agent-centric design principles."
• "Load the latest MCP protocol documentation."
• "Show me the Python SDK documentation for MCP servers."

Tips & gotchas

• The skill emphasizes a structured four-phase process; follow these steps for optimal results.
• Pay close attention to context window limitations when designing tools – prioritize high-signal information.
• Use WebFetch to load external resources as instructed within the guide.