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Bee Agent & Model Context Protocol with Backstage

Bee Agent & Model Context Protocol with Backstage

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github.com/evanshortissAI & Agents7Updated 84w ago
Repository

About Bee Agent & Model Context Protocol with Backstage

A sample MCP server and Bee Agent Framework agent for retrieving data from Backstage. It demonstrates how an agent can use tools exposed by the server to interact with a Backstage instance.

Key features

  1. 01Backstage data access tools
  2. 02Sample Bee Agent Framework agent
  3. 03Token-based Backstage access

Use cases

  1. 01Demonstrating agent access to Backstage data
  2. 02Prototyping MCP tools for Backstage

MCP support

The MCP server exposes tools that LLMs can use to communicate with a Backstage instance. A sample Bee Agent Framework agent demonstrates interaction with the server.

#mcp#backstage#model-context-protocol

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Bee Agent & Model Context Protocol with Backstage

This repository demonstrates how to create a Model Context Protocol (MCP) server that provides tools that LLMs can use to communicate with a Backstage instance. A sample Agent, built using the Bee Agent Framework, is included to demonstrate how to interact with the MCP server.

Run the Demo

Configure Backstage

Enable static, token-based, access to Backstage. This allows a client to interact with the HTTP API using the token in an authorization header.

appConfig:
  backend:
    auth:
      externalAccess:
      - type: static
        options:
        token: 'notasecuretoken'
        subject: mcp
Run the MCP Server

Install dependencies and prepare environment variables:

cd server
npm i
cp .env.template .env

Edit the .env file to with valid values, then start the server:


# Load variables
source .env

# Build and run the server
npm run build && npm start

The MCP server will start listening on http://localhost:8080

Run the Agent

In another terminal, install dependencies and set environment variables:

cd agent
cp .env.template .env
npm i

Run the agent:

npm run build && npm start

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.