# RAG MCP Server

> Use this tool when you need to ingest and semantically search large document collections, or enable retrieval-augmented generation for clients. It solves problems of information retrieval and generation by providing a local vector database for efficient semantic search. The tool takes in documents as input and outputs relevant information, making it ideal for use cases requiring intelligent information retrieval and generation.

Canonical page: https://skillsregistry.net/skills/alejandro-ao-simple-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/alejandro-ao-simple-mcp-rag

## Description

Provides tools for ingesting documents into a local vector database and retrieving relevant information via semantic search, enabling retrieval-augmented generation for MCP clients.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/niwsbd9tur)
- **Repository:** <https://github.com/alejandro-ao/simple-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": "alejandro-ao-simple-mcp-rag"
    }
  }
}
```

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