tomohiro-owada/devrag
Database
Free
Open Source
🏎️ 🏠 🍎 🪟 🐧 - Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns.
<p><strong>tomohiro-owada/devrag</strong> is a database MCP server that 🏎️ 🏠 🍎 🪟 🐧 - Lightweight local RAG MCP server for semantic vector search over markdown documents. Reduces token consumption by 40x with sqlite-vec and multilingual-e5-small embeddings. Supports filtered search by directory and filename patterns..</p>
<h2>How to Use tomohiro-owada/devrag</h2>
<p>To use tomohiro-owada/devrag, you need an MCP-compatible client such as Claude Desktop, Cursor, or VS Code with an MCP extension. Once configured, the AI model can automatically use the tools provided by this server.</p>
Key Features
- Open source with community contributions
- Data querying and manipulation
- Multiple database support
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