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Gemini Embedding 2 MCP Server

A multimodal local memory MCP server that lets AI agents search across text, PDFs, images, audio, and video using Gemini Embedding 2 and a local ChromaDB.

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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 1 credential: GEMINI_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.
🔐 secretGEMINI_API_KEY3. Copy the key and use it in your client configurations below as .
// 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/alaeddinemessadi-gemini-embedding-2-mcp-server-1jz03x)](https://m8ven.ai/mcp/alaeddinemessadi-gemini-embedding-2-mcp-server-1jz03x)
commit: d77d661d90ac2a9c6407f8a15d7e9d24dd5ed37c
code hash: a1cf18b5241e4ec4ff1216b3cc59e1d7f8fe683bcced6a27250975137a7b7a8f
verified: 7/19/2026, 8:49:48 AM
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