Gemini

MCP server that exposes Google Gemini as tools for Claude Code

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Gemini.

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

Documentation Overview

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)

bash

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)

Terminal

npx claude-gemini-mcp

3. Register with Claude Code

Add to ~/.claude/settings.json:

config.json

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

Or with npx:

config.json

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

Usage Examples

Ask a question

Code

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

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

Analyze code

Code

> Use gemini_analyze to review this function for performance issues:
  instruction: "Find performance bottlenecks"
  content: <your code here>

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

Multi-turn conversation

Code

> 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

Code

> 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

bash

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

223

Package downloads in the last 30 days.

Last commit

6mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gemini

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "gemini": { "command": "npx", "args": ["-y","claude-gemini-mcp"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

11/13 checks healthy over the last 45d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity2/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · claude-gemini-mcp (npm)

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More in 💻 Developer Tools →Best MCP servers for Developers →Best Google Workspace MCP servers →Alternatives to Gemini →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Gemini

MCP server that exposes Google Gemini as tools for Claude Code

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

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

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Gemini.

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

Documentation Overview

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)

bash

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)

Terminal

npx claude-gemini-mcp

3. Register with Claude Code

Add to ~/.claude/settings.json:

config.json

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

Or with npx:

config.json

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

Usage Examples

Ask a question

Code

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

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

Analyze code

Code

> Use gemini_analyze to review this function for performance issues:
  instruction: "Find performance bottlenecks"
  content: <your code here>

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

Multi-turn conversation

Code

> 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

Code

> 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

bash

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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

npm downloads

223

Package downloads in the last 30 days.

Last commit

6mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Gemini

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "gemini": { "command": "npx", "args": ["-y","claude-gemini-mcp"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/gemini?style=directory)](https://allmcps.com/mcp/gemini)

HTML Embed

<a href="https://allmcps.com/mcp/gemini"><img src="https://allmcps.com/api/badge/gemini?style=directory" alt="Gemini on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/13 checks healthy over the last 45d

47Quality signal: Fair · 47/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity2/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · claude-gemini-mcp (npm)

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

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