A TypeScript implementation of a Model Context Protocol server that provides a frictionless framework for developers to build and deploy AI tools and prompts, focusing on developer experience with zero boilerplate and automatic tool registration.
A Model Context Protocol (MCP) server template designed for building structured tools, prompts, and resources with built-in support for HTTP and STDIO transports. It provides a standardized framework for developers to create and deploy AI-driven services using TypeScript and Zod schema validation.
A customizable, production-ready template for building Model Context Protocol servers with dual transport support (stdio and HTTP), TypeScript, Docker support, and extensible architecture for tools, resources, and prompts.
A Model Context Protocol server implementation using Node.js, TypeScript, and Bun, designed for serverless and edge deployments on Vercel and Cloudflare.
A production-ready Model Context Protocol server built with Python and FastMCP, featuring modular architecture, centralized tool registration, Docker support, and a suite of utility tools for AI applications.