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MCP server · AI

Gemini MCP

by · github.com/kevingduck/gemini_mcp

Simple chat interface and server for testing Gemini MCP

Unclaimed last commit a year ago ai
InstallView source
34Low

Scored 7 days ago · breakdown

About Gemini MCP

Gemini MCP is an MCP server published by kevingduck in the AI category: simple chat interface and server for testing Gemini MCP.

The repository has 5 stars and 1 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/kevingduck/gemini_mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

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I know everything about Gemini MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 3 days ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • !License declaredNo license file. Legally you have no right to use it in a product.
  • ✓Tests presentA test suite exists in the repository.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.

1 check has not been run yet.

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!

README fetched from the repository 3 days ago. The original is authoritative.

Questions

About Gemini MCP

How do I install Gemini MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Gemini MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 3 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Gemini MCP still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.