# backstage-mcp-server

> backstage-mcp-server — coderrob-backstage-mcp-server. Use this tool when you need to integrate Large Language Models (LLMs) with the Backstage Catalog API, providing a scalable and reliable Model Context Protocol (MCP) server for enterprise-grade applications. It solves problems related to operational transparency, cross-platform compatibility, and error recovery, accepting git inputs and exposing API tools as outputs. Ideal for use cases requiring seamless LLM integration with Backstage Catalog, it enables efficient and automated model management.

Canonical page: https://skillsregistry.net/skills/coderrob-backstage-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/coderrob-backstage-mcp-server

## Description

A production-ready, enterprise-grade Model Context Protocol (MCP) server that exposes the Backstage Catalog API as tools for Large Language Models (LLMs). Features comprehensive operational transparency, cross-platform compatibility, and automated error recovery.

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Coderrob/backstage-mcp-server)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "coderrob-backstage-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coderrob-backstage-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coderrob-backstage-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt