M

Markdown RAG

Verified Integration
Author: @UnitVectorY-LabsCategory: ServerApplication
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status

Client Configuration

— Connect Markdown RAG to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "markdown-rag": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-markdown-rag"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Indexes and semantically searches Markdown documents using vector embeddings and a self-contained vector database.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Markdown RAG

It's designed to index diverse Markdown documents, making it ideal for personal notes, project documentation, research papers, and any other Markdown-formatted content.

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