# MCP RAG Server

> Use this tool when you need to enable AI assistants to securely query private documents with persistent memory, supporting various file formats. It solves problems related to private document access and retrieval, allowing for efficient information extraction. The MCP RAG Server takes in document queries as input and outputs relevant information, making it ideal for use cases requiring secure and private document analysis.

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

## Description

A local RAG server using the Model Context Protocol (MCP) to allow AI assistants to query private documents with persistent memory and support for many file formats.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d7owwv7nib)
- **Repository:** <https://github.com/caagudelo/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": "caagudelo-mcp-rag"
    }
  }
}
```

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