# RAG MCP Server

> Use this tool when you need to build and query vector-based knowledge bases from document collections, enabling semantic search and document retrieval capabilities. It solves problems related to information retrieval, document search, and knowledge base construction, providing tools for efficient querying and retrieval of relevant information. The RAG MCP Server takes in document collections as input and outputs query results, making it ideal for applications requiring advanced search functionality.

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

## Description

A Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) operations. It provides tools for building and querying vector-based knowledge bases from document collections, enabling semantic search and document retrieval capabilities.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pobk8a68pg)
- **Repository:** <https://github.com/tungetti/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": "tungetti-rag-mcp-server"
    }
  }
}
```

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

---
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