iflow-mcp_zackriya-solutions-mcp-markdown-rag

<div align="center"> <img src="docs/banner.png" alt="MCP-Markdown-RAG" width="800" style="border-radius:10px;"/> <h1>MCP-Markdown-RAG</h1> <p> <img alt="GitHub forks" src="https://img.shields.io/github/forks/Zackriya-Solutions/MCP-Markdown-RAG"/> <img alt="GitHub Repo stars" src="https://img.shields.io/github/stars/Zackriya-Solutions/MCP-Markdown-RAG"> <img alt="GitHub last commit" src="https://img.shields.io/github/last-commit/Zackriya-Solutions/MCP-Markdown-RAG"> </p> <p> <a href="LICENSE"> <img src="https://img.shields.io/badge/License-Apache%202.0-green" alt="License" /> </a> <img src="https://img.shields.io/badge/MCP-Server-blue"/> </p> </div> A **Model Context Protocol (MCP)** server that provides a **local-first RAG engine** for your markdown documents. This server uses a file-based Milvus vector database to index your notes, enabling Large Language Models (LLMs) to perform semantic search and retrieve relevant content from your local files. > [!NOTE] > This project is in active development. The API and implementation are subject to change. We are exploring future enhancements, including a potential port to an Obsidian plugin for seamless vault integration. ## 🎯 Key Features ✅ **Local-First & Private**: All your data is processed and stored locally. Nothing is sent to a third-party service for indexing. ✅ **Semantic Search for Markdown**: Go beyond simple keyword search. Find document sections based on conceptual meaning. ✅ **MCP Compatible**: Integrates with any MCP-supported host application like Claude Desktop, Windsurf, or Cursor. ✅ **Simple Tooling**: Provides two straightforward tools (`index_documents` and `search`) for managing and querying your knowledge base. ## ⚙️ How It Works The server operates in two main phases, exposing its functionality through MCP tools. 1. **Indexing**: - The `index_documents` tool is called with a path to your markdown files. - The server reads the documents, splits them into log…