# mcp-rag-mini

> mcp-rag-mini — pinger1456-mcp-rag-mini. Use this tool when you need to retrieve relevant document chunks and generate suggested prompts for large language models. It solves problems related to information retrieval and prompt engineering by providing a vector index for querying documents via REST and MCP interfaces. The tool takes in queries and returns relevant document chunks along with a suggested LLM prompt.

Canonical page: https://skillsregistry.net/skills/pinger1456-mcp-rag-mini  
JSON: https://api.skillsregistry.net/v1/skills/pinger1456-mcp-rag-mini

## Description

A minimal RAG service that exposes a vector index for document retrieval via REST and MCP, allowing querying for relevant document chunks and returning a suggested LLM prompt.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/ufjxzw996q)
- **Repository:** <https://github.com/Pinger1456/mcp-rag-mini>

## 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": "pinger1456-mcp-rag-mini"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pinger1456-mcp-rag-mini` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pinger1456-mcp-rag-mini/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