# MCP-Markdown-RAG

> Use this tool when you need to enhance your markdown documents with semantic search capabilities, solving problems of information retrieval and knowledge management across local files. It takes in markdown documents and indexes them in a file-based vector database, outputting relevant content based on semantic queries. Ideal for use cases where local-first, private knowledge management is required, such as personal notes or sensitive research.

Canonical page: https://skillsregistry.net/skills/zackriya-solutions-mcp-markdown-rag  
JSON: https://api.skillsregistry.net/v1/skills/zackriya-solutions-mcp-markdown-rag

## Description

A Model Context Protocol (MCP) server that provides a local-first RAG engine for your markdown documents. It uses a file-based Milvus vector database to index your notes, enabling LLMs to perform semantic search and retrieve relevant content from your local files.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/gomj9u1orc)
- **Repository:** <https://github.com/Zackriya-Solutions/MCP-Markdown-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": "zackriya-solutions-mcp-markdown-rag"
    }
  }
}
```

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