moai-mcp-builder

What problem does it solve?

Integrating AI models with external systems and creating robust, agent-callable tools is complex, often requiring custom API wrappers and intricate context management. This skill provides a comprehensive framework for developing enterprise-grade Model Context Protocol (MCP) servers, simplifying AI integration and tool development.

Core Features & Use Cases

• FastMCP 2.0 Framework: Rapidly build MCP servers in Python with type-safe decorators, automatic OpenAPI generation, and production-grade features.
• Tools, Resources, Prompts: Design agent-callable functions, expose data efficiently via URI-based resources, and manage multi-turn conversation patterns with pre-built prompts.
• Authentication & Deployment: Implement secure OAuth, API key authentication, and deploy your MCP servers to Docker or Kubernetes for scalable, resilient operation.
• Best Practices & Evaluation: Follow guidelines for agent-centric tool design, error handling, performance optimization, monitoring, and use evaluation harnesses to ensure LLM effectiveness.

Quick Start

Use the moai-mcp-builder skill to create a basic FastMCP server in Python with a tool to get the current weather for a given city, including input validation and a clear description.