mcp-builder

MCP servers enable LLMs to access external services by implementing tools in Python (FastMCP) or Node/TypeScript (MCP SDK). Design tools with snake_case naming, service prefixes, Zod/Pydantic validation, and descriptive annotations, then register them with stdio, SSE, or HTTP transport to expose structured JSON or Markdown responses.

Design MCP tools by establishing clear naming conventions with service prefixes, implementing Zod (TypeScript) or Pydantic (Python) input validation, adding descriptive annotations, and handling errors gracefully. Validate all inputs, structure outputs as JSON or Markdown, and test across real-world scenarios before deployment.

Yes, MCP servers support both Python (FastMCP) and Node/TypeScript (MCP SDK) implementations. Both frameworks handle tool registration, validation, error handling, and transport configuration identically, so you can choose based on your existing stack.

MCP tools support pagination through structured query parameters and multi-format responses by returning JSON or Markdown based on context. Implement offset/limit patterns for large datasets and use tool annotations to document supported formats and response structures.

MCP servers support three transport options: stdio (standard input/output for local integration), SSE (Server-Sent Events for streaming), and HTTP (for REST-style access). Select based on your deployment context and whether you need real-time streaming or request-response patterns.

Yes, follow snake_case naming for tools with service prefixes (e.g., `weather_get_forecast`) and establish clear server naming conventions. This ensures consistency, prevents naming conflicts, and makes tools discoverable and maintainable across integrations.