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 foundation for developing custom Model Context Protocol servers in TypeScript that connects AI assistants with external APIs and data sources using a complete layered architecture pattern.
A Model Context Protocol server that enables AI assistants to communicate with each other using Inter-Process Communication, featuring natural language commands and cross-platform compatibility.
A Model Context Protocol server that enables AI assistants to make HTTP requests (GET, POST, PUT, DELETE) to external APIs through standardized MCP tools.
A starter template for building Model Context Protocol servers that can integrate AI assistants with custom tools, resource providers, and prompt templates.