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glama

Context Intelligence Layer

Provides LLMs with persistent memory and reusable skills via MCP, enabling semantic storage and retrieval of user preferences, project context, and step-by-step procedures across conversations.

→ myselfvivek17/context-intelligence· 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.
✅
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 2 credentials: QDRANT_API_KEY, MCP_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— e =http://localhost:6333 \
🔐 secretQDRANT_API_KEY— your-qdrant-key
🔐 secretMCP_API_KEY— your-mcp-api-key
configMAX_SEARCH_LIMIT— 50 Max results per search query
// 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/myselfvivek17-context-intelligence-1tb7ah)](https://m8ven.ai/mcp/myselfvivek17-context-intelligence-1tb7ah)
commit: ad8109f6ca65f7a09a22b6e8093c3ceb83fad73a
code hash: 773998a64b9842167f3d4a90dbd7c611a5e7aaf171b40f966e53be6c43362043
verified: 6/24/2026, 9:53:20 AM
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