MCP.so
登录

MCP Gemini Server

@amitsh06

关于 MCP Gemini Server

暂无概览

基本信息

分类

AI 与智能体

运行时

python

传输方式

stdio

发布者

amitsh06

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-amitsh06": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Gemini Server?

MCP Gemini Server is an implementation of the Model Context Protocol (MCP) that enables AI assistants like Claude to interact with Google's Gemini API. It allows AI assistants to request text generation, text analysis, and maintain chat conversations through the Gemini API.

How to use MCP Gemini Server?

Install Python 3.7+ and obtain a Google AI API key. Clone the repository, create a virtual environment, install dependencies, and set your API key in a .env file as GEMINI_API_KEY. Start the server with python server.py, then send POST requests to the /mcp endpoint with a JSON payload containing the action and parameters.

Key features of MCP Gemini Server

  • Implements MCP protocol for secure message exchange.
  • Generates text via Gemini with configurable temperature and max tokens.
  • Analyzes text for sentiment, summary, keywords, or general analysis.
  • Supports multi-turn chat conversations with Gemini.
  • Uses .env file for secure API key storage.
  • Provides health check and model listing endpoints.

Use cases of MCP Gemini Server

  • AI assistants generating creative content like poems or stories.
  • Analyzing sentiment of user-provided text.
  • Conducting interactive Q&A sessions with context.
  • Summarizing documents or extracting keywords.
  • Enabling Claude to leverage Gemini's text capabilities.

FAQ from MCP Gemini Server

What actions does MCP Gemini Server support?

It supports three actions: generate_text, analyze_text, and chat.

What parameters are required for text generation?

You must provide a prompt. Optional parameters include temperature (0.0 to 1.0) and max_tokens.

What analysis types are available?

The analysis_type parameter can be 'sentiment', 'summary', 'keywords', or 'general'.

How do I start the server?

Run python server.py after installing dependencies and setting your GEMINI_API_KEY in a .env file.

What HTTP endpoints does the server expose?

It exposes GET /health, GET /list-models, and POST /mcp as the main endpoint for MCP requests.

评论

AI 与智能体 分类下的更多 MCP 服务器