A production-ready foundation for developing custom Model Context Protocol (MCP) servers in TypeScript with a complete layered architecture pattern. Includes a working IP geolocation example and comprehensive developer infrastructure to connect AI assistants with external APIs and data sources.
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 minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers with auto-loading architecture for tools, resources, and prompts. Provides boilerplate code, generators, and examples to quickly create MCP servers that can connect AI applications to any data source or tool.
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 production-ready TypeScript template for building Model Context Protocol (MCP) servers with Zod validation, structured logging, and seamless integration with AI agents like Claude Desktop and Cursor.
A starter project designed to quickly build and deploy Model Context Protocol (MCP) servers using the TypeScript SDK and Zod for schema validation. It features example implementations for tools and resources, providing a solid foundation for custom MCP development and integration.
