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.
Key Features
012 GitHub stars
02Includes a Bee Agent Framework-based agent.
03Demonstrates interaction between LLMs and Backstage.
04Supports token-based authentication for Backstage access.
05Includes a sample MCP Server.
Use Cases
01Automating Backstage tasks using LLMs.
02Integrating Backstage data into LLM-powered applications.
03Building conversational interfaces for Backstage interactions.
