# RAG MCP Server

> Use this tool when you need to generate informative and context-specific responses using retrieval-augmented generation, particularly for domain-aware reasoning and PDF-based queries. It solves problems related to information retrieval, question answering, and text generation by leveraging LangChain, ChromaDB, and HuggingFace models. The RAG MCP Server takes in natural language inputs and returns relevant, citation-based responses with smart retrieval and reranking capabilities.

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

## Description

Enables Claude to perform retrieval-augmented generation using LangChain, ChromaDB, and HuggingFace models for domain-aware reasoning with PDF embedding, smart retrieval, reranking, and citation-based responses.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **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/h00r42l5b1)
- **Repository:** <https://github.com/NSANTRA/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": "nsantra-rag-mcp-server"
    }
  }
}
```

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