This project provides a translation layer and set of adapters designed to bridge AI agents with the Model Context Protocol. It functions as an integration layer that allows agents to operate as protocol-compliant servers and enables the conversion of protocol-based tools into formats compatible with agent frameworks and logic graphs.
The adapters facilitate tool interoperability by wrapping external protocol tools for use within agent workflows and exposing internal agent capabilities to any client implementing the Model Context Protocol. This creates a communication bridge that supports inter-agent discovery and coordination through a standardized protocol.
Beyond tool translation, the project covers the orchestration of agentic workflows, including stateful thread management, asynchronous execution, and real-time event streaming. It also incorporates support for OAuth 2.0 authentication, durable execution checkpointing, and the deployment of agents via Docker containers.
