A lightweight SDK for building Model Context Protocol (MCP) servers with zero-config setup, automatic TypeScript type inference, and Zod runtime validation.
A minimal, general-purpose implementation of the Model Context Protocol (MCP) for Node.js and Bare runtime, enabling creation of AI-interactive servers with tools, resources, and multiple transport options.
A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
Enables developers to build and deploy secure, typed Model Context Protocol servers with tools, resources, prompts, bearer-token authentication, per-tool scopes, rate limiting, and health probes over Streamable HTTP.
TypeScript implementation of the Model Context Protocol that standardizes how LLMs connect to data sources and tools, eliminating vendor lock-in and simplifying AI integration.