# MCP RAG Server

> MCP RAG Server — sujith29k-mcp-rag. Use this tool when you need to retrieve answers from local PDFs using advanced search capabilities. The MCP RAG Server solves problems related to information retrieval and question answering by indexing and searching local PDF documents using FAISS and OpenAI's RAG technology. It takes PDF files and natural language queries as input and returns relevant answers and excerpts as output.

Canonical page: https://skillsregistry.net/skills/sujith29k-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/sujith29k-mcp-rag

## Description

MCP server for retrieving answers from local PDFs using RAG with FAISS and OpenAI.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kc0ksbscso)
- **Repository:** <https://github.com/Sujith29k/MCP-RAG>

## 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": "sujith29k-mcp-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sujith29k-mcp-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sujith29k-mcp-rag/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