# Fabric GraphQL MCP Connector

> Use this tool when you need to integrate AI agents with Microsoft Fabric data warehouses, enabling them to query and mutate data via GraphQL using Model Context Protocol. It solves problems of data accessibility and manipulation, providing a seamless interface for AI agents to interact with Fabric data. The connector accepts GraphQL queries and mutations as inputs and returns the corresponding data as outputs, ideal for use cases requiring real-time data exchange between AI agents and Microsoft Fabric.

Canonical page: https://skillsregistry.net/skills/lazauk-aifoundry-mcpconnector-fabricgraphql  
JSON: https://api.skillsregistry.net/v1/skills/lazauk-aifoundry-mcpconnector-fabricgraphql

## Description

Enables AI agents to query and mutate data in Microsoft Fabric data warehouse via GraphQL using Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cmy805z0l5)
- **Repository:** <https://github.com/LazaUK/AIFoundry-MCPConnector-FabricGraphQL>

## 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": "lazauk-aifoundry-mcpconnector-fabricgraphql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lazauk-aifoundry-mcpconnector-fabricgraphql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lazauk-aifoundry-mcpconnector-fabricgraphql/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