MCP Backstage Example
M

MCP Backstage Example

This project demonstrates how to create an MCP server that enables LLMs to communicate with Backstage instances, including a sample agent based on the Bee Agent Framework.
2.5 points
9.7K

What is the MCP Server?

The Model Context Protocol (MCP) Server acts as a bridge between Language Learning Models (LLMs) and Backstage instances. It provides tools for LLMs to interact with Backstage's HTTP API using a token-based authentication system.

How to use the MCP Server?

The MCP Server requires configuration of Backstage for token-based access, setting up environment variables, and running both the server and a sample agent. The process involves simple commands and configuration steps.

Use Cases

Ideal for organizations using Backstage that want to enable LLM-powered interactions with their developer portal, automate catalog queries, or integrate AI assistants with their tech ecosystem.

Key Features

Backstage Integration
Seamless connection with Backstage instances through HTTP API
Token-based Authentication
Secure static token access configuration for Backstage
Sample Bee Agent
Included demonstration agent built with Bee Agent Framework
Advantages
Simplifies LLM integration with Backstage
Provides ready-to-use sample implementation
Uses standard token authentication
Limitations
Requires Backstage configuration changes
Static token may not be suitable for production
Currently demonstrates basic functionality

Getting Started

Configure Backstage
Enable static token-based access in your Backstage configuration
Set Up MCP Server
Install dependencies and configure environment variables for the server
Run the Server
Build and start the MCP server
Set Up and Run Agent
Configure and run the sample Bee Agent to demonstrate functionality

Example Scenarios

Querying Backstage Catalog
An LLM can use the MCP server to query components in the Backstage catalog
System Health Check
The agent can check the health status of systems through Backstage

Frequently Asked Questions

Is the static token secure for production use?
Can I use this with existing Backstage plugins?
What programming languages are supported for agents?

Additional Resources

Model Context Protocol Documentation
Official MCP documentation and specifications
Bee Agent Framework
Documentation for the Bee Agent Framework used in the sample
Backstage Official Site
Learn more about Backstage and its capabilities

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
10.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
10.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
39.1K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
24.8K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
80.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
28.4K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
38.4K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
70.5K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
107.0K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase