# rag-mcp-azure

> rag-mcp-azure — oumniya03-rag-mcp-azure. Use this tool when you need to efficiently search and retrieve relevant information from large PDF documents. It solves problems related to document search and information retrieval by creating embeddings and exposing a search tool over MCP. The tool ingests PDFs as input and outputs relevant document chunks, making it ideal for use cases where quick access to specific information within documents is required.

Canonical page: https://skillsregistry.net/skills/oumniya03-rag-mcp-azure  
JSON: https://api.skillsregistry.net/v1/skills/oumniya03-rag-mcp-azure

## Description

A lightweight RAG server deployed on Azure Container Apps that ingests PDFs, creates embeddings, and exposes a search_documents tool over MCP for retrieving relevant document chunks.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hqxixa9au4)
- **Repository:** <https://github.com/oumniya03/rag-mcp-azure>

## 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": "oumniya03-rag-mcp-azure"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/oumniya03-rag-mcp-azure` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/oumniya03-rag-mcp-azure/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