What problem does it solve?
It solves the challenge of building and maintaining MCP servers by guiding how to structure tools, resources, prompts, validation, and transport so AI clients can reliably call your server.
Core Features & Use Cases
- Tooling structure: Implement callable actions with clear input schemas and predictable handler behavior.
- Resource and prompt registration: Expose read-only data (resources) and reusable templates (prompts) so clients can fetch and use server-provided context.
- Transport guidance: Choose correct connectivity for local clients (stdio) versus remote clients (Streamable HTTP), with notes on legacy compatibility.
- Validation with Zod: Apply Zod to enforce input correctness and prevent schema drift across SDK upgrades.
- SDK version drift mitigation: Provide patterns that explicitly account for changing Node/TypeScript SDK APIs by advising verification against official MCP docs.
Quick Start
Ask an AI assistant to outline a TypeScript MCP server that registers one tool with Zod input validation and exposes one resource via Streamable HTTP for a remote client workflow.