# rag_mcp

> Use this tool when you need to generate text based on relevant information from a local document repository, leveraging vector similarity search to retrieve contextually relevant documents in various file formats. It solves problems related to information retrieval and text generation, enabling large language models (LLMs) to produce more accurate and informed responses. Ideal for use cases where local knowledge bases or document collections need to be tapped into for augmented text generation.

Canonical page: https://skillsregistry.net/skills/mmer547-rag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mmer547-rag-mcp

## Description

Enables retrieval-augmented generation by allowing LLMs to search documents in a local folder using vector similarity, supporting multiple file formats.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pcmzhliwx4)
- **Repository:** <https://github.com/mmer547/rag_mcp>

## 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": "mmer547-rag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mmer547-rag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mmer547-rag-mcp/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