# azure-ai-search-foundry-iq-live-knowledge-sources

> azure-ai-search-foundry-iq-live-knowledge-sources — microsoft-azure-ai-search-foundry-iq-live-knowledge-sources. Use this tool when you need to accelerate live knowledge sourcing with reusable accelerators, solving problems of data integration and ontology management in Azure AI applications. It provides a core functionality of grounding with Fabric Ontology and MCP Server Knowledge Sources, accepting git-based inputs and producing integrated knowledge outputs. Ideal for use cases requiring seamless data connectivity and knowledge management in Azure-based projects.

Canonical page: https://skillsregistry.net/skills/microsoft-azure-ai-search-foundry-iq-live-knowledge-sources  
JSON: https://api.skillsregistry.net/v1/skills/microsoft-azure-ai-search-foundry-iq-live-knowledge-sources

## Description

Reusable accelerator for Foundry IQ live grounding with Fabric Ontology and MCP Server Knowledge Sources.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/microsoft/azure-ai-search-foundry-iq-live-knowledge-sources)

## 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": "microsoft-azure-ai-search-foundry-iq-live-knowledge-sources"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/microsoft-azure-ai-search-foundry-iq-live-knowledge-sources` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/microsoft-azure-ai-search-foundry-iq-live-knowledge-sources/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