obsidian-notes-rag

proofsh/obsidian-notes-rag
★ 13 stars Python Memory/Knowledge Updated 2d ago ✗ Risk
Local vector store for Obsidian notes with semantic search via MCP server
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "obsidian-notes-rag": {
      "command": "uvx",
      "args": [
        "obsidian-notes-rag"
      ]
    }
  }
}

Or install with pip: pip install obsidian-notes-rag

README Excerpt

MCP server and CLI for semantic search over your Obsidian vault — or any folder of linked markdown: an OKF knowledge bundle, a repo's docs tree, a wiki export. The CLI installs as `obsidian-rag` and as **`okf-search`** — same tool, use whichever name fits the corpus. Generates embeddings with OpenAI, Ollama, or LM Studio. Stores vectors locally in sqlite-vec (~200KB, no telemetry, no network calls). Nothing requires Obsidian itself: point `--root` at any markdown directory and both the semantic

Tools (13)

OBSIDIAN_RAG_DATAOBSIDIAN_RAG_LMSTUDIO_URLOBSIDIAN_RAG_MODELOBSIDIAN_RAG_OLLAMA_URLOBSIDIAN_RAG_PROVIDEROBSIDIAN_RAG_VAULTOPENAI_API_KEYget_note_contextget_note_graphget_similarget_statsreindexsearch_notes