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.
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 themcp_server.pyto 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
-
Get Files: Make sure all
.pyfiles are in one folder. -
API Key:
- Get a Google AI API Key from Google AI Studio.
- Set it as an environment variable:
(For Windows, useexport GOOGLE_API_KEY="YOUR_KEY_HERE"set GOOGLE_API_KEY="YOUR_KEY_HERE")
-
Install Stuff:
pip install -r requirements.txt(Or run
./install_packages.sh) -
Run It:
- Terminal 1: Start the MCP Server
(This creates & uses apython mcp_server.py./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
- Terminal 1: Start the MCP Server
-
Chat with Gemini:
- "What files are in my work folder?"
- "Create
notes.txtand write 'Hello world' in it." - "Read
notes.txt."
How it Works (Simply)
- You chat with Gemini.
- If you ask about files, Gemini tells your chat script to use a "file tool."
- Your chat script tells the
mcp_server.pyto do the file action (read, write, etc.) in the sandbox folder. - The server does it and tells the chat script the result.
- The chat script tells Gemini the result.
- Gemini tells you what happened.
Important
- Sandbox Only: The
mcp_server.pycan 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
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。
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。
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。
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。
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。
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。
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。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
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。