# Markdown RAG

> Use this tool when you need to perform semantic searches and manage document indices for markdown files, solving problems of information retrieval and document organization. It takes markdown files as input and outputs relevant search results, leveraging PostgreSQL, pgvector, Google Gemini, and Ollama for intelligent embedding generation. Ideal for use cases where efficient document management and search are crucial, such as knowledge base construction or content retrieval.

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

## Description

A Retrieval Augmented Generation system that enables AI assistants to perform semantic searches and manage document indices for markdown files. It supports PostgreSQL with pgvector and integrates both Google Gemini and Ollama for intelligent embedding generation.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vvyqy0618f)
- **Repository:** <https://github.com/ashrobertsdragon/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": "ashrobertsdragon-rag-mcp"
    }
  }
}
```

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