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5 days ago
glama

obsidian-notes-rag

Enables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.

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// key findings
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 3 credentials: OPENAI_API_KEY, OBSIDIAN_RAG_OLLAMA_API_KEY, OBSIDIAN_RAG_LMSTUDIO_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// required environment variables
This server reads these from process.env. You'll be asked to provide them before it can run.
🔐 secretOPENAI_API_KEYOne of: , [Ollama](https://ollama.ai/), or [LM Studio](https://lmstudio.ai/) for embeddings
🔐 secretOBSIDIAN_RAG_OLLAMA_API_KEY
🔐 secretOBSIDIAN_RAG_LMSTUDIO_API_KEY
configOBSIDIAN_RAG_PROVIDERopenai (default), ollama, or lmstudio
configOBSIDIAN_RAG_VAULTPath to Obsidian vault
configOBSIDIAN_RAG_DATAIndex storage path (default: platform-specific)
configOBSIDIAN_RAG_OLLAMA_URLOllama URL (default: http://localhost:11434)
configOBSIDIAN_RAG_LMSTUDIO_URLLM Studio URL (default: http://localhost:1234)
configOBSIDIAN_RAG_MODELOverride embedding model
configOBSIDIAN_RAG_DEBOUNCE
// full audit trail
The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.
// improvement guidance — verified publishers only
We have 5 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/proofsh-obsidian-notes-rag-3jblyl)](https://m8ven.ai/mcp/proofsh-obsidian-notes-rag-3jblyl)
commit: db86e39d188d9c76e217ee562b542cf3c9b59cfb
code hash: badf90be6d9f6155758a553c25e224236eec87683694bebd949d948d786cb29b
verified: 6/22/2026, 1:21:44 PM
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