Enables LLMs to interact with a Backstage instance using the Model Context Protocol (MCP).
This project provides a sample MCP Server and Agent demonstrating how Large Language Models (LLMs) can communicate with a Backstage instance. It includes a server that exposes tools for interacting with Backstage and a Bee Agent Framework-based agent that utilizes these tools. By enabling token-based access to Backstage, the server facilitates data retrieval and manipulation through a defined protocol, bridging the gap between LLMs and Backstage's functionalities.