A Python-based implementation of the Model Context Protocol that enables communication between a model context management server and client through a request-response architecture.
A simple TypeScript library for creating Model Context Protocol (MCP) servers with features like type safety, parameter validation, and a minimal code API.
A Model Context Protocol service registry and connector framework that enables seamless integration with multiple services and models through a standardized API interface. Provides an extensible architecture for custom service adapters, API integrations, and model registries.