# RAG MCP Server

> RAG MCP Server — anrege-git-clone-https-github-com-alejandro-ao-simple-mcp-rag. Use this tool when you need to ingest and semantically search large document collections, solving problems like information retrieval and question answering over natural language text. It takes in documents as input and outputs relevant search results, enabling users to query documents using natural language. Ideal for applications requiring advanced document search and knowledge retrieval capabilities.

Canonical page: https://skillsregistry.net/skills/anrege-git-clone-https-github-com-alejandro-ao-simple-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/anrege-git-clone-https-github-com-alejandro-ao-simple-mcp-rag

## Description

A MCP server for document ingestion and semantic search using ChromaDB and sentence transformers, enabling users to query natural language over ingested documents.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dr88sxvqld)
- **Repository:** <https://github.com/anrege/git-clone-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": "anrege-git-clone-https-github-com-alejandro-ao-simple-mcp-rag"
    }
  }
}
```

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