# fabric_mcp

> fabric_mcp — cleobury-fabric-mcp. Use this tool when you need to integrate Fabric and GraphQL with your Large Language Model (LLM) of choice, enabling seamless connectivity and data exchange. It solves problems of compatibility and data synchronization between different frameworks and models. The fabric_mcp server takes in Fabric and GraphQL inputs and outputs connected LLM functionality, ideal for use cases requiring unified API management and version control via git.

Canonical page: https://skillsregistry.net/skills/cleobury-fabric-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cleobury-fabric-mcp

## Description

MCP Server to connect Fabric + GraphQL to your LLM of choice

## Trust

- **Trust score (0–1):** 0.94
- **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/Cleobury/fabric_mcp)

## 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": "cleobury-fabric-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cleobury-fabric-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cleobury-fabric-mcp/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