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Gemini Embedding 2

Verified Integration
Author: @AlaeddineMessadi•Category: ServerApplication
GitHub Repository
JSON-RPC 2.0
Protocol Standard
Sub-second
Execution Latency
Active
Operational Status
Tags:#Claude#Search#Database#API#Git#Filesystem#AI#GitHub#Node.js

Client Configuration

— Connect Gemini Embedding 2 to Claude Desktop or Cursor in seconds
{
  "mcpServers": {
    "gemini-embedding-2": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-gemini-embedding-2"
      ],
      "env": {}
    }
  }
}
Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).
Architecture & Capabilities

System Overview

Transforms any local directory into an ultrafast, visually-aware spatial search engine for AI agents.

Indexed Date

7/23/2026

License

Open Source

Protocol Layer

stdio / SSE RPC

Frequently Asked Questions

Architecture and operational details for Gemini Embedding 2

It utilizes ChromaDB entirely locally, storing your vector database on your machine (e.g., `~/.gemini_mcp_db`). This means your files never leave your local environment or go to a 3rd party database; only raw byte chunks are sent to the Gemini Embedding API for processing.

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