# MCP-RAG Server

> Use this tool when you need to enhance context handling in semantic search and document retrieval tasks. The MCP-RAG Server implements Retrieval-Augmented Generation, leveraging GroundX and OpenAI to provide advanced context processing capabilities. It accepts natural language inputs and returns relevant documents or generated text, ideal for applications requiring accurate information retrieval and context-aware generation.

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

## Description

A server that implements Retrieval-Augmented Generation using GroundX and OpenAI, enabling semantic search and document retrieval with Modern Context Processing for enhanced context handling.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a7yenap2of)
- **Repository:** <https://github.com/apatoliya/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": "apatoliya-mcp-rag"
    }
  }
}
```

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