Markdown RAG
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 embeddin
What is Markdown RAG?
Markdown RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to 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 g...
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 embeddin
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A Retrieval Augmented Generation system that enables AI assi
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx markdown-ragConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Markdown RAG
What is Markdown RAG?
Markdown RAG is a Model Context Protocol (MCP) server that 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 embeddin It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Markdown RAG?
Follow the installation instructions on the Markdown RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Markdown RAG?
Markdown RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Markdown RAG free to use?
Yes, Markdown RAG is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up Markdown RAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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