Gemini MCP File Agent

Gemini MCP File Agent

A local server that enables Google's Gemini AI to safely read, write, and list files within a controlled sandbox folder on your computer through natural language chat interactions.

Category
访问服务器

README

Gemini MCP File Agent (MVP)

This project lets you chat with Google's Gemini AI and allow it to safely read, write, and list files on your computer within a specific, controlled folder (a "sandbox").

What it does:

  • mcp_server.py: A local server that Gemini uses to access files. You tell it which folder on your computer is the "sandbox."
  • Chat Scripts (chat_with_gemini_mcp.py, simple_chat.py): Command-line chats where you talk to Gemini. Gemini can then use the mcp_server.py to manage files in the sandbox.

USE WITH CAUTION: This is a basic example. Be careful about which folder you let the mcp_server.py access.

Quick Start

  1. Get Files: Make sure all .py files are in one folder.

  2. API Key:

    • Get a Google AI API Key from Google AI Studio.
    • Set it as an environment variable:
      export GOOGLE_API_KEY="YOUR_KEY_HERE" 
      
      (For Windows, use set GOOGLE_API_KEY="YOUR_KEY_HERE")
  3. Install Stuff:

    pip install -r requirements.txt 
    

    (Or run ./install_packages.sh)

  4. Run It:

    • Terminal 1: Start the MCP Server
      python mcp_server.py 
      
      (This creates & uses a ./mcp_data_sandbox/ folder by default. To use a different folder: python mcp_server.py --sandbox-dir ./my_files)
    • Terminal 2: Start Chatting
      python chat_with_gemini_mcp.py
      
  5. Chat with Gemini:

    • "What files are in my work folder?"
    • "Create notes.txt and write 'Hello world' in it."
    • "Read notes.txt."

How it Works (Simply)

  1. You chat with Gemini.
  2. If you ask about files, Gemini tells your chat script to use a "file tool."
  3. Your chat script tells the mcp_server.py to do the file action (read, write, etc.) in the sandbox folder.
  4. The server does it and tells the chat script the result.
  5. The chat script tells Gemini the result.
  6. Gemini tells you what happened.

Important

  • Sandbox Only: The mcp_server.py can ONLY touch files inside the folder you pick as the sandbox. This is for safety.
  • Local Use: Designed to be run on your own computer.

This is a basic tool to explore giving AI file access. Be smart about how you use it!

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选