# FabricIQ MCP Server

> FabricIQ MCP Server — msft-innovation-hub-india-fabriciq-mcp-stdio. Use this tool when you need to query project data and key performance indicators (KPIs) using natural language, allowing for effortless retrieval of financial data and project intelligence. It solves problems related to data accessibility and analysis, providing clients with quantified insights to inform decision-making. The FabricIQ MCP Server takes in natural language queries and outputs relevant project data and KPIs, making it ideal for use cases where data-driven decision making is crucial.

Canonical page: https://skillsregistry.net/skills/msft-innovation-hub-india-fabriciq-mcp-stdio  
JSON: https://api.skillsregistry.net/v1/skills/msft-innovation-hub-india-fabriciq-mcp-stdio

## Description

This server exposes a Microsoft Fabric Data Agent as a native MCP tool, allowing clients to query the agent for KPIs, financial data, and other quantified project intelligence via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aoauppkwye)
- **Repository:** <https://github.com/MSFT-Innovation-Hub-India/fabriciq-mcp-stdio>

## 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": "msft-innovation-hub-india-fabriciq-mcp-stdio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/msft-innovation-hub-india-fabriciq-mcp-stdio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/msft-innovation-hub-india-fabriciq-mcp-stdio/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