# MCP-RAGNAR

> Use this tool when you need to efficiently index and query documents across various file formats, such as PDF, MD, and DOCX, to retrieve relevant sentence windows. It solves problems related to document searching and information retrieval, supporting both local Hugging Face models and OpenAI embeddings for context-aware querying. The tool accepts document files as input and outputs relevant sentence windows, making it ideal for applications requiring accurate and efficient document analysis.

Canonical page: https://skillsregistry.net/skills/bixentemal-mcp-ragnar  
JSON: https://api.skillsregistry.net/v1/skills/bixentemal-mcp-ragnar

## Description

A local RAG server that enables document indexing and sentence window retrieval across multiple file formats like PDF, MD, and DOCX. It supports both local Hugging Face models and OpenAI embeddings for efficient context-aware querying through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tpc5gw1eim)
- **Repository:** <https://github.com/bixentemal/mcp-ragnar>

## 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": "bixentemal-mcp-ragnar"
    }
  }
}
```

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

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