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Gemini MCP Server

Generate images using gemini

Unclaimed MIT last commit a year ago content
34Low

Scored 4 days ago · breakdown

About Gemini MCP Server

Gemini MCP Server is an MCP server published by sanxfxteam in the Content category: generate images using gemini.

The repository has 5 stars and 2 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/sanxfxteam/gemini-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

Static checks derived from the repository 9 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

1 check has not been run yet.

README

Gemini Image Generation MCP Server

This is a Model Context Protocol (MCP) server that provides image generation capabilities using Google's Gemini 2 API.

Quick Start

  1. Get Gemini API Key

  2. Configure Claude Desktop

    • Locate your config file:
      Mac: ~/Library/Application Support/Claude/claude_desktop_config.json
      Windows: %APPDATA%\Claude\claude_desktop_config.json
      Linux: ~/.config/Claude/claude_desktop_config.json
      
    • Add Gemini configuration:
      {
        "mcpServers": {
          "gemini-imagen": {
            "command": "npx",
            "args": ["-y", "github:sanxfxteam/gemini-mcp-server"],
            "env": {
              "GEMINI_API_KEY": "your_api_key_here"
            }
          }
        }
      }
      
  3. Restart Claude Desktop

Setup

  1. Install dependencies:
npm install
  1. Set up your environment variables: Create a .env file in the root directory and add your Google API key:
GEMINI_API_KEY=your_api_key_here

Usage

Run the server:

npm start

To test

npx @modelcontextprotocol/inspector npm run start

Available Tools

generateImage

Generates images using Gemini 2's experimental image generation API.

Parameters:

  • prompt (string, required): The description of the image you want to generate
  • numSamples (number, optional, default: 4): Number of images to generate
  • aspectRatio (string, optional, default: '1:1'): Aspect ratio of the generated images
  • personGeneration (string, optional, default: 'ALLOW_ADULT'): Person generation settings

Example MCP request:

{
  "tool": "generateImage",
  "params": {
    "prompt": "A serene mountain landscape at sunset",
    "numSamples": 2,
    "aspectRatio": "16:9"
  }
}

Notes

  • This server uses the experimental image generation feature of Gemini 2
  • Make sure you have appropriate access and API keys from Google
  • The server communicates using the Model Context Protocol over stdio

README fetched from the repository 9 hours ago. The original is authoritative.

Questions

About Gemini MCP Server

How do I install Gemini MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Gemini MCP Server safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 3 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Gemini MCP Server still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.