# THE RAG MCP

> Use this tool when you need to retrieve relevant context and metadata from complex datasets using natural language queries, solving problems of data discovery and insight generation. The RAG MCP server takes in natural language queries as input and outputs relevant context and metadata from a Qdrant vector database. Ideal for use cases where intuitive and efficient data retrieval is crucial, such as research, analytics, or decision-making applications.

Canonical page: https://skillsregistry.net/skills/sankalp-2005-the-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sankalp-2005-the-rag-mcp

## Description

An enterprise-ready MCP server that exposes a RAG tool for retrieving relevant context and metadata from a Qdrant vector database using natural language queries.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mrbf3fipt1)
- **Repository:** <https://github.com/Sankalp-2005/the_rag_mcp>

## 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": "sankalp-2005-the-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sankalp-2005-the-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sankalp-2005-the-rag-mcp/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