What runtime is required?
Node.js version 18 or later.
MCP Gemini Server
@MCP-Mirror
基本信息
关于 MCP Gemini Server
Mirror of
MCP Gemini Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"bsmi021_mcp-gemini-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@bsmi021/mcp-gemini-server",
"--client",
"claude"
]
}
}
}MCP Gemini Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
概览
What is MCP Gemini Server?
This server wraps the @google/genai SDK, exposing Google Gemini model capabilities as standard MCP tools. It allows other LLMs (like Cline) or MCP-compatible systems to leverage Gemini’s text generation, function calling, chat, file handling, and caching features.
How to use MCP Gemini Server?
Install via Smithery (npx -y @smithery/cli install @bsmi021/mcp-gemini-server) or manually (clone, npm install, npm run build). Configure your MCP client’s settings with the server’s path and required environment variables (GOOGLE_GEMINI_API_KEY, optionally GOOGLE_GEMINI_MODEL). Restart the client after configuration.
Key features of MCP Gemini Server
- Standard and streaming text generation (
gemini_generateContent,gemini_generateContentStream) - Function calling that lets Gemini request client-defined functions
- Stateful chat sessions with history management
- File upload, list, retrieve, and delete operations
- Cache content creation, listing, retrieval, update, and deletion
Use cases of MCP Gemini Server
- Integrate Gemini text generation into MCP-compatible assistants (e.g., Cline)
- Enable function calling workflows where Gemini invokes external tools
- Build conversational agents that maintain context across multiple turns
- Upload and manage files (images, documents) for multimodal prompts
- Optimize repeated prompt patterns with server-side content caching
常见问题
Where do I get an API key?
An API key from Google AI Studio ([https://aistudio.google.com/app/apikey](https://aistudio.google.com/app/apikey)).
Can I use Vertex AI authentication?
No. The server only supports Google AI Studio API keys; file handling and caching features are not compatible with Vertex AI credentials.
How do I set a default Gemini model?
Set the `GOOGLE_GEMINI_MODEL` environment variable (e.g., `gemini-1.5-flash`). If not set, the `modelName` parameter becomes required on applicable tool calls.
What error types does the server return?
Errors are returned as `McpError` objects with an error code (`InvalidParams`, `InternalError`, etc.), a message, and optional details for troubleshooting (e.g., safety block reasons).
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