Best for
- Privacy-conscious users who want local AI memory.
- Users with multiple AI clients needing a unified memory layer.
- Obsidian enthusiasts who want to keep Markdown portable.
enquire-mcp is a feature-rich Obsidian MCP server prioritizing local-first and privacy, offering powerful hybrid retrieval and RAG. It's suitable for professionals and privacy-conscious users. Note its extensive features require configuration and include experimental elements; consider waiting for stable release.
enquire-mcp is a local-first MCP server that turns your existing Obsidian vault (including Markdown, PDFs, Canvas, and Bases) into a persistent, queryable knowledge database for any MCP-compatible AI agent. It features hybrid retrieval (BM25, TF-IDF, multilingual embeddings), local BGE reranking, HNSW indexing, freshness-aware search, and cited sources. It's read-only by default with zero cloud calls during serve, and supports 50+ languages.
npm install -g @oomkapwn/enquire-mcp. 2. Add MCP config to your client (see docs or use enquire-mcp configure). 3. Example config in install_config.{
"mcpServers": {
"obsidian": {
"command": "npx",
"args": ["-y", "@oomkapwn/enquire-mcp", "serve", "--vault", "/path/to/vault"]
}
}
}