mcp-builder

Building an MCP server involves scaffolding a project with the MCP SDK and registering tools with strict input validation to expose external APIs to LLMs. This skill provides patterns for server setup, pagination, and error handling across Python and TypeScript.

The best way to add input validation for MCP tools is using Pydantic for Python and Zod for TypeScript. These frameworks enforce strict schema validation, ensuring structured outputs and production-grade reliability for your server.

Yes, MCP server scaffolding works with both Python and TypeScript. It provides framework guidance for FastMCP in Python and the MCP SDK in Node/TypeScript, ensuring reliable transport configurations and tool registration across both environments.

To handle pagination and errors when integrating APIs as MCP tools, you implement structured outputs and robust error handling within your tool registration logic. This skill provides reusable patterns for managing these challenges in production-grade integrations.

You need to expose data via MCP resources instead of tools when providing structured, read-only data access to LLMs rather than executing actions. This skill guides wrapping external APIs as tools and exposing data via resources for real-world workflows.