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.
Partial audit · 3/5 dimensions · Audit v1.1-github-security · 62d ago · imported from awesome mcp
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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.
Yes, devrag is completely free to use with no usage limits on the free tier.
devrag is listed under the AI & Machine Learning category in the AgentForge MCP registry.
devrag has a current uptime of 99.9% with an average response time of 0ms.
To connect devrag, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of devrag's tools via the Model Context Protocol.