Backstage Plugin · Open Source

AI Assets,
One Hub.

A centralized hub for AI Instructions, Agents, Skills and Workflows — synced from Git, served via MCP, and available to every AI tool your team uses.

GitHub Quick Install

Works with your AI tools

Claude Code
GitHub Copilot
Google Gemini
Cursor
Dev AI Hub screenshot

Features

Everything your team needs

From Git sync to MCP server, Dev AI Hub handles the full lifecycle of AI assets in your organization.

🔄

Git-Synced Assets

Sync from GitHub, GitLab, Bitbucket, Azure DevOps or any Git provider. Assets are always up to date. Schedule syncs or trigger them manually.

⚡

Embedded MCP Server

Built-in Model Context Protocol server using StreamableHTTP — no separate process needed. AI tools discover and install assets automatically.

🎯

Smart Install Paths

Per-tool path conventions auto-resolved. The right file ends up in the right place for each AI tool — Claude Code, Copilot, Gemini or Cursor.

📊

Usage Metrics

Track how many times each asset has been installed, via MCP or direct download. See which assets your team uses most.

🔍

Rich UI

Browse, search and filter assets by type, tool and tags. Markdown preview, raw YAML, metadata — all in one panel.

🗄️

Backstage Native

Uses Backstage database service with automatic migrations. SQLite for development, PostgreSQL for production. Zero manual setup.

Asset Types

Four types of AI assets

Each asset is two files: a YAML envelope with metadata and a pure Markdown file with the content your AI tool consumes.

📄

Instructions

Persistent behavior rules applied to every conversation in a project. Equivalent to system prompts.

🤖

Agents

Specialized sub-agents with a defined role, model and behavior. Used in multi-agent orchestration.

🔧

Skills

Reusable capabilities following the open Agent Skills standard. Compatible across tools.

🔀

Workflows

Step-by-step processes that guide the AI through complex multi-stage tasks.

MCP Server

Your AI tools, connected

Point any MCP-compatible tool at your Backstage instance. The ?tool= param filters assets per client.

search_assets Full-text search across name, description and tags
list_assets List assets filtered by type or tool
get_asset Fetch full metadata and pure Markdown content
install_asset Get content + install path; model creates the file
get_popular Returns the most-installed assets, optionally by type
list_providers Lists configured repositories with sync status and counts
suggest_assets Proactively suggests assets based on project context — opt-in via ?proactive=true
check_for_assets Prompt: triggers asset discovery before starting work — opt-in via ?proactive=true
.mcp.json 
{
  "mcpServers": {
    "dev-ai-hub": {
      "type": "http",
      "url": "http://backstage:7007
        /api/dev-ai-hub/mcp
        ?tool=claude-code"
    }
  }
}
✦ Ask your AI tool 
"List available agents in Dev AI Hub"
"Install the code-review skill"
"Search for security instructions"

Installation

Up and running in minutes

1

Copy the plugin packages

Drop the four packages into your Backstage monorepo's plugins/ folder and run yarn install.

2

Register the backend

Add import('@internal/plugin-dev-ai-hub-backend') to your packages/backend/src/index.ts.

3

Register the frontend

Add the DevAiHubPage route and a sidebar item to your Backstage app.

4

Configure providers

Point at your Git repo in app-config.yaml and set your GITHUB_TOKEN. Done.

app-config.yaml 
devAiHub:
  providers:
    - id: main-ai-assets
      type: github
      target: https://github.com/
        your-org/ai-assets.git
      branch: main
      schedule:
        frequency:
          minutes: 30
        timeout:
          minutes: 5

integrations:
  github:
    - host: github.com
      token: ${GITHUB_TOKEN}
4
Asset types
4
AI tools supported
7
MCP tools
0
Extra processes needed

Ready to centralize your AI assets?

Open source, Apache 2.0 licensed. Drop it into your Backstage instance today.

Get Started on GitHub Read the Docs