# RAG MCP Server

> Use this tool when you need to semantically search and interact with PDF documents, solving problems of information retrieval and document analysis. It indexes PDFs into Qdrant, taking PDF documents as input and providing search results as output, enabling RAG-based interactions. Ideal for use cases where intuitive document search and understanding are required, such as research, document management, and knowledge discovery.

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

## Description

Indexes PDF documents into Qdrant and exposes semantic search as MCP tools, enabling RAG-based interactions with your documents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/c6nj0xi0pu)
- **Repository:** <https://github.com/devsinsight/rag-mcp-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": "devsinsight-rag-mcp-server"
    }
  }
}
```

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