Gemini MCP Image Generation Server
Gemini 图像生成 MCP 服务器
这是一个模型上下文协议 (MCP) 服务器,它使用 Google 的 Gemini 2 API 提供图像生成功能。
快速入门
获取 Gemini API 密钥
创建新的 API 密钥
配置 Claude 桌面
找到您的配置文件:
Mac: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json Linux: ~/.config/Claude/claude_desktop_config.json添加 Gemini 配置:
{ "mcpServers": { "gemini-imagen": { "command": "npx", "args": ["-y", "github:sanxfxteam/gemini-mcp-server"], "env": { "GEMINI_API_KEY": "your_api_key_here" } } } }
重启Claude桌面
Related MCP server: Image Toolkit MCP Server
设置
安装依赖项:
npm install设置您的环境变量:在根目录中创建一个
.env文件并添加您的 Google API 密钥:
GEMINI_API_KEY=your_api_key_here用法
运行服务器:
npm start测试
npx @modelcontextprotocol/inspector npm run start可用工具
生成图像
使用 Gemini 2 的实验图像生成 API 生成图像。
参数:
prompt(字符串,必需):要生成的图像的描述numSamples(数字,可选,默认值:4):要生成的图像数量aspectRatio(字符串,可选,默认值:'1:1'):生成图像的纵横比personGeneration(字符串,可选,默认值:'ALLOW_ADULT'):人员生成设置
MCP 请求示例:
{
"tool": "generateImage",
"params": {
"prompt": "A serene mountain landscape at sunset",
"numSamples": 2,
"aspectRatio": "16:9"
}
}笔记
该服务器使用 Gemini 2 的实验性图像生成功能
确保您拥有来自 Google 的适当访问权限和 API 密钥
服务器使用模型上下文协议通过 stdio 进行通信
Available Tools
1 toolgenerateImageD
| Name | Required | Description | Default |
|---|---|---|---|
| aspectRatio | No | ||
| outputFormat | No | ||
| prompt | Yes |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
v1.0.0- First observed
generateImage
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool 'generateImage' stands alone with a distinct purpose.
A single tool inherently has perfect naming consistency, as there are no other tools to compare it against. The name 'generateImage' follows a clear verb_noun pattern.
One tool is too few for a server named 'Gemini MCP Image Generation Server', which suggests a broader scope for image generation tasks. A single tool feels thin and incomplete for this domain.
The server is severely incomplete for image generation. It lacks essential operations like listing generated images, editing or modifying images, deleting images, or handling different image formats or styles, leaving significant gaps in functionality.
Maintenance
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