Gemini

Name: Gemini
Author: PavelGuzenfeld

by PavelGuzenfeldversion 0.1.2i★ –iRuns on your computer

Registry nameio.github.PavelGuzenfeld/gemini

Install

Overview

Description from the maker (original English)

MCP server that exposes Google Gemini as tools for Claude Code

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 183/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools
You need to fill in: GEMINI_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: GEMINI_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": [
        "-y",
        "claude-gemini-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add gemini --env GEMINI_API_KEY=your-value -- npx -y claude-gemini-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": [
        "-y",
        "claude-gemini-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gemini": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "claude-gemini-mcp"
      ],
      "env": {
        "GEMINI_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GEMINI_API_KEY secret required env
Google Gemini API key

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account PavelGuzenfeld, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 5554 servers in this category
Published to the registry more recently than 6% of the other 5554 servers in this category
Basic checks equal to or better than 100% of the other 5554 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Gemini safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GEMINI_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Cloudflare MCP

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

gemini-mcp

Lightweight MCP server that exposes Google Gemini as tools for Claude Code (or any MCP client).

Use Gemini for second opinions, large-context analysis, code review, or anything where a different model perspective helps.

Tools

Tool	Description
`gemini_ask`	Ask Gemini a question or give it a task
`gemini_analyze`	Send code/text for analysis with a specific instruction
`gemini_chat`	Multi-turn conversation with full history
`gemini_models`	List available Gemini models

Quick Start

1. Get an API key

Go to Google AI Studio and create a free API key.

2. Install

Option A — Clone (recommended for Claude Code)

git clone https://github.com/PavelGuzenfeld/gemini-mcp.git ~/.claude/mcp-servers/gemini

cd ~/.claude/mcp-servers/gemini npm install

Option B — npx (no install)

npx claude-gemini-mcp

3. Register with Claude Code

Add to ~/.claude/settings.json:

"mcpServers": { "gemini": { "command": "node", "args": ["/home/you/.claude/mcp-servers/gemini/index.js"], "env": { "GEMINI_API_KEY": "your-key-here" } } } }

Or with npx:

"mcpServers": { "gemini": { "command": "npx", "args": ["-y", "claude-gemini-mcp"], "env": { "GEMINI_API_KEY": "your-key-here" } } } }

Usage Examples

Ask a question

> Use gemini_ask to explain the difference between std::expected and std::optional

Gemini says: std::optional represents a value that may or may not be present... std::expected additionally carries an error value when the expected value is absent...

Analyze code

> Use gemini_analyze to review this function for performance issues:

instruction: "Find performance bottlenecks" content:

Gemini says: Line 12 allocates inside the loop — move the vector outside...

Multi-turn conversation

> Use gemini_chat with messages:

[{"role": "user", "content": "Design a REST API for a task manager"}, {"role": "model", "content": "Here's a RESTful design..."}, {"role": "user", "content": "Now add authentication"}]

Gemini says: Building on the previous design, add JWT-based auth...

Override model per call

> Use gemini_ask with model: "gemini-2.5-flash" to quickly summarize this error log

Environment Variables

Variable	Default	Description
`GEMINI_API_KEY`	(required)	Google AI Studio API key
`GEMINI_MODEL`	`gemini-2.5-pro`	Default model for all tools

Models

Model	Best for
`gemini-2.5-pro`	Best quality, large context (1M tokens)
`gemini-2.5-flash`	Fast, good for most tasks
`gemini-2.0-flash`	Fastest, simple tasks

Every tool accepts an optional model parameter to override the default per-call.

Features

Retry with exponential backoff on rate limits (429) and server errors (5xx)
Graceful error reporting back to the MCP client (no crashes)
Per-call model override
Zero configuration beyond the API key

Troubleshooting

Problem	Solution
`GEMINI_API_KEY is not set`	Add the key to your `env` block in `settings.json`
`429 Too Many Requests`	Built-in retry handles this — wait a few seconds
`Model not found`	Run `gemini_models` to list valid model names
Tools not appearing in Claude Code	Check `~/.claude/settings.json` syntax, restart Claude Code
`ECONNREFUSED`	Check network/firewall — the server calls `generativelanguage.googleapis.com`

Development

git clone https://github.com/PavelGuzenfeld/gemini-mcp.git

cd gemini-mcp npm install npm test # Run smoke tests node index.js # Start the MCP server locally

License

MIT

Gemini

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

gemini-mcp

Tools

Quick Start

1. Get an API key

2. Install

3. Register with Claude Code

Usage Examples

Ask a question

Analyze code

Multi-turn conversation

Override model per call

Environment Variables

Models

Features

Troubleshooting

Development

License