mcp-backstage-example
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This repository demonstrates how to create a Model Context Protocol (MCP) server that provides tools for LLMs to communicate with a Backstage instance.
The Bee Agent & Model Context Protocol with Backstage repository provides a comprehensive guide to setting up a Model Context Protocol (MCP) server. This server facilitates communication between Language Learning Models (LLMs) and a Backstage instance, using the Bee Agent Framework. The repository includes a sample agent to demonstrate interaction with the MCP server. The setup involves configuring Backstage for static, token-based access, running the MCP server, and executing the agent. The server listens on a local host, allowing for seamless integration and testing. This setup is ideal for developers looking to leverage MCP technology to enhance LLM capabilities in interacting with Backstage environments.
Features
- Integration with Backstage: Allows LLMs to interact with Backstage instances using MCP.
- Sample Agent: Includes a sample agent built with the Bee Agent Framework for demonstration purposes.
- Token-based Access: Utilizes static token-based access for secure communication with Backstage.
- Environment Configuration: Provides templates for environment variable configuration to streamline setup.
- Local Server Setup: Guides on setting up a local MCP server for testing and development.