This project provides a TypeScript software development kit for the Model Context Protocol, a standard designed to facilitate bidirectional communication between AI applications and external data sources or tools. It serves as a foundational framework for building both clients and servers, enabling language models to interact with external systems through a unified, decoupled interface.
The SDK distinguishes itself by implementing a transport-agnostic connection layer that supports both local standard input-output streams and remote HTTP endpoints. It utilizes a JSON-RPC message bus to manage structured data exchange, complemented by a capability-based handshake that ensures compatibility between disparate client and server implementations during initialization. This architecture allows for the creation of complex, agentic workflows where models can dynamically discover and invoke tools, retrieve resources via URI-based addressing, and receive real-time updates through an asynchronous notification stream.
Beyond core communication, the library provides comprehensive support for enterprise-grade security, observability, and interactive user experiences. It includes primitives for schema-driven tool execution, sandboxed UI embedding for rich interface components, and robust authentication mechanisms such as OAuth and OpenID Connect. The SDK also manages the full lifecycle of connections and tasks, offering tools for monitoring, logging, and granular access control to ensure reliable and secure integration within distributed AI environments.
