# mcp-rag-server

> Use this tool when you need to index and search large collections of documents in various formats, and enable retrieval-augmented generation through vector search. It solves problems related to information retrieval, document search, and multilingual text analysis. The tool takes in documents in multiple formats and outputs searchable indexes, making it ideal for applications requiring efficient and accurate document retrieval.

Canonical page: https://skillsregistry.net/skills/forifor-mcp-rag-server  
JSON: https://api.skillsregistry.net/v1/skills/forifor-mcp-rag-server

## Description

MCP RAG Server is a Python MCP server that indexes documents in multiple formats (Markdown, text, PowerPoint, PDF) using multilingual-e5-large embeddings and enables vector search for retrieval-augmented generation.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n25bxo9bdn)
- **Repository:** <https://github.com/FORIFOR/mcp-rag-server>

## 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": "forifor-mcp-rag-server"
    }
  }
}
```

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