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 server implemented in TypeScript that provides resources, tools (calculator, weather, timestamp), and prompts for integration with LLMs.
A TypeScript framework for building Model Context Protocol servers with a decorator-based API, enabling custom tools, resources, and prompts for AI applications.
A TypeScript-based template for developing Model Context Protocol servers with features like dependency injection and service-based architecture, facilitating the creation and integration of custom data processing tools.
A TypeScript implementation of the Model Context Protocol server that enables creation, management, and semantic search of memory streams with Mem0 integration.
