vault-rag-mcp

Item: vault-rag-mcp
Rating: 69
Author: M8ven

MCP server for semantic search in an Obsidian Second Brain vault using self-hosted Qdrant and Google Gemini embeddings.

→ fjacquet/vault-rag-mcp · listed on glama

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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.

🔐

You'll be asked for 2 credentials: GOOGLE_API_KEY, QDRANT_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.

🔐 secretGOOGLE_API_KEY— Google AI API key (required)

configEMBEDDING_MODEL— Gemini embedding model gemini-embedding-001

configQDRANT_URL— Qdrant instance URL (HTTPS requires the :443 port; appended automatically if missing) (required)

🔐 secretQDRANT_API_KEY— Qdrant API key (required)

// 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/fjacquet-vault-rag-mcp-1lmzdr)](https://m8ven.ai/mcp/fjacquet-vault-rag-mcp-1lmzdr)

commit: 438a7d7e1a0f28e6ee751c679d4b9e086845759b

code hash: 4e83e7321e803434ad4e7532bba20dcefee4d8f6a18a1aed38c067829195d6c0

verified: 6/21/2026, 10:24:43 AM

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