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18 days ago
glama

mcp-knowledge-assistant

A custom MCP server providing semantic note memory (Qdrant + FastEmbed) and optional web search (Tavily) tools for a LangGraph ReAct agent.

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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: OPENROUTER_API_KEY, TAVILY_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.
configQDRANT_URL
configQDRANT_COLLECTION
configEMBED_MODEL
🔐 secretOPENROUTER_API_KEYFull agent run needs in .env
🔐 secretTAVILY_API_KEYoptional web search
configDEFAULT_USER
// 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/deepxk2403-mcp-knowledge-assistant-3ep09m)](https://m8ven.ai/mcp/deepxk2403-mcp-knowledge-assistant-3ep09m)
commit: af1a28e43355249a8325673a2b5bc170f358e441
code hash: 7a4dfbaf7b16262eda89d09131bc4a23c26a001bd5cc3f36bf3b04e178207f44
verified: 7/1/2026, 9:59:52 AM
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