Gemini MCP

Gemini 3 MCP server with 30+ tools: images, video, research, TTS, code exec & CLI

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-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@rlabs-inc/gemini-mcp"
      ]
    }
  }
}

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

Capabilities & Tool Schemas (3)Self-reported

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

low

Fast responses, minimal reasoning

medium

Balanced (Flash only)

high

Deep reasoning for complex tasks (default)

Documentation Overview

MCP Server Gemini

A Model Context Protocol (MCP) server for integrating Google's Gemini 3 models with Claude Code, enabling powerful collaboration between both AI systems. Now with a beautiful CLI!

MCP Registry Support: Now discoverable in the official MCP ecosystem!

Features

Feature	Description
Deep Research Agent	Autonomous multi-step research with web search and citations
Token Counting	Count tokens and estimate costs before API calls
Text-to-Speech	30 unique voices, single speaker or two-speaker dialogues
URL Analysis	Analyze, compare, and extract data from web pages
Context Caching	Cache large documents for efficient repeated queries
YouTube Analysis	Analyze videos by URL with timestamp clipping
Document Analysis	PDFs, DOCX, spreadsheets with table extraction
4K Image Generation	Generate images up to 4K with 10 aspect ratios
Multi-Turn Image Editing	Iteratively refine images through conversation
Video Generation	Create videos with Veo 2.0 (async with polling)
Code Execution	Gemini writes and runs Python code (pandas, numpy, matplotlib)
Google Search	Real-time web information with inline citations
Structured Output	JSON responses with schema validation
Data Extraction	Extract entities, facts, sentiment from text
Thinking Levels	Control reasoning depth (minimal/low/medium/high)
Direct Query	Send prompts to Gemini 3 Pro/Flash models
Brainstorming	Claude + Gemini collaborative problem-solving
Code Analysis	Analyze code for quality, security, performance
Summarization	Summarize content at different detail levels

Quick Installation

MCP Server for Claude Code

bash

# Using npm (Recommended)
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY npx -y @rlabs-inc/gemini-mcp

# Using bun
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY bunx @rlabs-inc/gemini-mcp

CLI (Global Install)

bash

# Install globally
npm install -g @rlabs-inc/gemini-mcp

# Set your API key once (stored securely)
gcli config set api-key YOUR_KEY

# Now use any command!
gcli search "latest news"
glci image "sunset over mountains" --ratio 16:9

Get your API key: Visit Google AI Studio - it's free and takes seconds!

Installation Options

bash

# With verbose logging
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY VERBOSE=true bunx -y @rlabs-inc/gemini-mcp

# With custom output directory for generated images/videos
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY GEMINI_OUTPUT_DIR=/path/to/output bunx -y @rlabs-inc/gemini-mcp

Available Tools

gemini-query

Direct queries to Gemini with thinking level control:

Code

prompt: "Explain quantum entanglement"
model: "pro" or "flash"
thinkingLevel: "low" | "medium" | "high" (optional)

low: Fast responses, minimal reasoning
medium: Balanced (Flash only)
high: Deep reasoning for complex tasks (default)

gemini-generate-image

Generate images with Nano Banana Pro (Claude can SEE them!):

Code

prompt: "a futuristic city at sunset"
style: "cyberpunk" (optional)
aspectRatio: "16:9" (1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9)
imageSize: "2K" (1K, 2K, 4K)
useGoogleSearch: false (ground in real-world info)
thinkingLevel: "high" (optional - minimal, low, medium, high)
personGeneration: "ALLOW_ALL" (optional - ALLOW_ALL, ALLOW_ADULT, ALLOW_NONE)
seed: 42 (optional - for reproducible results)

gemini-start-image-edit

Start a multi-turn image editing session:

Code

prompt: "a cozy cabin in the mountains"
aspectRatio: "16:9"
imageSize: "2K"
useGoogleSearch: false
thinkingLevel: "high" (optional - minimal, low, medium, high)
personGeneration: "ALLOW_ALL" (optional - ALLOW_ALL, ALLOW_ADULT, ALLOW_NONE)
seed: 42 (optional - for reproducible results)

Returns a session ID for iterative editing.

gemini-continue-image-edit

Continue refining an image:

Code

sessionId: "edit-123456789"
prompt: "add snow on the roof and make it nighttime"

gemini-end-image-edit

Close an editing session:

Code

sessionId: "edit-123456789"

gemini-list-image-sessions

List all active editing sessions.

gemini-generate-video

Generate videos using Veo:

Code

prompt: "a cat playing piano"
aspectRatio: "16:9" (optional)
negativePrompt: "blurry, text" (optional)

Video generation is async (takes 1-5 minutes). Use gemini-check-video to poll.

gemini-check-video

Check video generation status and download when complete:

Code

operationId: "operations/xxx-xxx-xxx"

gemini-analyze-code

Analyze code for issues:

Code

code: "function foo() { ... }"
language: "typescript" (optional)
focus: "quality" | "security" | "performance" | "bugs" | "general"

gemini-analyze-text

Analyze text content:

Code

text: "Your text here..."
type: "sentiment" | "summary" | "entities" | "key-points" | "general"

gemini-brainstorm

Collaborative brainstorming:

Code

prompt: "How could we implement real-time collaboration?"
claudeThoughts: "I think we should use WebSockets..."
maxRounds: 3 (optional)

gemini-summarize

Summarize content:

Code

content: "Long text to summarize..."
length: "brief" | "moderate" | "detailed"
format: "paragraph" | "bullet-points" | "outline"

gemini-run-code

Let Gemini write and execute Python code:

Code

prompt: "Calculate the first 50 prime numbers and plot them"
data: "optional CSV data to analyze" (optional)

Supports libraries: numpy, pandas, matplotlib, scipy, scikit-learn, tensorflow, and more. Generated charts are saved to the output directory and returned as images.

gemini-search

Real-time web search with citations:

Code

query: "What happened in tech news this week?"
returnCitations: true (default)

Returns grounded responses with inline citations and source URLs.

gemini-structured

Get JSON responses matching a schema:

Code

prompt: "Extract the meeting details from this email..."
schema: '{"type":"object","properties":{"date":{"type":"string"},"attendees":{"type":"array"}}}'
useGoogleSearch: false (optional)

gemini-extract

Convenience tool for common extraction patterns:

Code

text: "Your text to analyze..."
extractType: "entities" | "facts" | "summary" | "keywords" | "sentiment" | "custom"
customFields: "name, date, amount" (for custom extraction)

gemini-youtube

Analyze YouTube videos directly:

Code

url: "https://www.youtube.com/watch?v=..."
question: "What happens at 2:30?"
startTime: "1m30s" (optional, for clipping)
endTime: "5m00s" (optional, for clipping)

gemini-youtube-summary

Quick video summarization:

Code

url: "https://www.youtube.com/watch?v=..."
style: "brief" | "detailed" | "bullet-points" | "chapters"

gemini-analyze-document

Analyze PDFs and documents:

Code

filePath: "/path/to/document.pdf"
question: "Summarize the key findings"
mediaResolution: "low" | "medium" | "high"

gemini-summarize-pdf

Quick PDF summarization:

Code

filePath: "/path/to/document.pdf"
style: "brief" | "detailed" | "outline" | "key-points"

gemini-extract-tables

Extract tables from documents:

Code

filePath: "/path/to/document.pdf"
outputFormat: "markdown" | "csv" | "json"

Workflow: Claude + Gemini

The killer combination for development:

Claude	Gemini
Complex logic	Frontend/UI
Architecture	Visual components
Backend code	Image generation
Integration	React/CSS styling
Reasoning	Creative generation

Example workflow:

Ask Claude to design the backend API
Use gemini-generate-image for UI mockups
Ask Gemini to generate React components via gemini-query
Use multi-turn editing to refine visuals
Let Claude wire everything together

Environment Variables

Read the full README →View source on GitHub →

Related MCP Servers

View all in Text-to-Speech View all alternatives

Adoption & maintenance

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

GitHub stars

219

Stargazers on the source repository.

npm downloads

1.4k

Package downloads in the last 30 days.

Last commit

2mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 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 MCP

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

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Technical Specs & Signals

CategoryText-to-Speech

11/16 checks healthy over the last 45d

59Quality signal: Good · 59/100How 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 & tools24/30

Adoption & activity10/15

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 5d ago via OSV.dev · @rlabs-inc/gemini-mcp (npm)

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More in 🎧 Text-to-Speech →Alternatives to Gemini MCP →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Gemini MCP

Gemini 3 MCP server with 30+ tools: images, video, research, TTS, code exec & CLI

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-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@rlabs-inc/gemini-mcp"
      ]
    }
  }
}

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

Capabilities & Tool Schemas (3)Self-reported

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

low

Fast responses, minimal reasoning

medium

Balanced (Flash only)

high

Deep reasoning for complex tasks (default)

Documentation Overview

MCP Server Gemini

A Model Context Protocol (MCP) server for integrating Google's Gemini 3 models with Claude Code, enabling powerful collaboration between both AI systems. Now with a beautiful CLI!

MCP Registry Support: Now discoverable in the official MCP ecosystem!

Features

Feature	Description
Deep Research Agent	Autonomous multi-step research with web search and citations
Token Counting	Count tokens and estimate costs before API calls
Text-to-Speech	30 unique voices, single speaker or two-speaker dialogues
URL Analysis	Analyze, compare, and extract data from web pages
Context Caching	Cache large documents for efficient repeated queries
YouTube Analysis	Analyze videos by URL with timestamp clipping
Document Analysis	PDFs, DOCX, spreadsheets with table extraction
4K Image Generation	Generate images up to 4K with 10 aspect ratios
Multi-Turn Image Editing	Iteratively refine images through conversation
Video Generation	Create videos with Veo 2.0 (async with polling)
Code Execution	Gemini writes and runs Python code (pandas, numpy, matplotlib)
Google Search	Real-time web information with inline citations
Structured Output	JSON responses with schema validation
Data Extraction	Extract entities, facts, sentiment from text
Thinking Levels	Control reasoning depth (minimal/low/medium/high)
Direct Query	Send prompts to Gemini 3 Pro/Flash models
Brainstorming	Claude + Gemini collaborative problem-solving
Code Analysis	Analyze code for quality, security, performance
Summarization	Summarize content at different detail levels

Quick Installation

MCP Server for Claude Code

bash

# Using npm (Recommended)
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY npx -y @rlabs-inc/gemini-mcp

# Using bun
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY bunx @rlabs-inc/gemini-mcp

CLI (Global Install)

bash

# Install globally
npm install -g @rlabs-inc/gemini-mcp

# Set your API key once (stored securely)
gcli config set api-key YOUR_KEY

# Now use any command!
gcli search "latest news"
glci image "sunset over mountains" --ratio 16:9

Get your API key: Visit Google AI Studio - it's free and takes seconds!

Installation Options

bash

# With verbose logging
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY VERBOSE=true bunx -y @rlabs-inc/gemini-mcp

# With custom output directory for generated images/videos
claude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY GEMINI_OUTPUT_DIR=/path/to/output bunx -y @rlabs-inc/gemini-mcp

Available Tools

gemini-query

Direct queries to Gemini with thinking level control:

Code

prompt: "Explain quantum entanglement"
model: "pro" or "flash"
thinkingLevel: "low" | "medium" | "high" (optional)

low: Fast responses, minimal reasoning
medium: Balanced (Flash only)
high: Deep reasoning for complex tasks (default)

gemini-generate-image

Generate images with Nano Banana Pro (Claude can SEE them!):

Code

prompt: "a futuristic city at sunset"
style: "cyberpunk" (optional)
aspectRatio: "16:9" (1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9)
imageSize: "2K" (1K, 2K, 4K)
useGoogleSearch: false (ground in real-world info)
thinkingLevel: "high" (optional - minimal, low, medium, high)
personGeneration: "ALLOW_ALL" (optional - ALLOW_ALL, ALLOW_ADULT, ALLOW_NONE)
seed: 42 (optional - for reproducible results)

gemini-start-image-edit

Start a multi-turn image editing session:

Code

prompt: "a cozy cabin in the mountains"
aspectRatio: "16:9"
imageSize: "2K"
useGoogleSearch: false
thinkingLevel: "high" (optional - minimal, low, medium, high)
personGeneration: "ALLOW_ALL" (optional - ALLOW_ALL, ALLOW_ADULT, ALLOW_NONE)
seed: 42 (optional - for reproducible results)

Returns a session ID for iterative editing.

gemini-continue-image-edit

Continue refining an image:

Code

sessionId: "edit-123456789"
prompt: "add snow on the roof and make it nighttime"

gemini-end-image-edit

Close an editing session:

Code

sessionId: "edit-123456789"

gemini-list-image-sessions

List all active editing sessions.

gemini-generate-video

Generate videos using Veo:

Code

prompt: "a cat playing piano"
aspectRatio: "16:9" (optional)
negativePrompt: "blurry, text" (optional)

Video generation is async (takes 1-5 minutes). Use gemini-check-video to poll.

gemini-check-video

Check video generation status and download when complete:

Code

operationId: "operations/xxx-xxx-xxx"

gemini-analyze-code

Analyze code for issues:

Code

code: "function foo() { ... }"
language: "typescript" (optional)
focus: "quality" | "security" | "performance" | "bugs" | "general"

gemini-analyze-text

Analyze text content:

Code

text: "Your text here..."
type: "sentiment" | "summary" | "entities" | "key-points" | "general"

gemini-brainstorm

Collaborative brainstorming:

Code

prompt: "How could we implement real-time collaboration?"
claudeThoughts: "I think we should use WebSockets..."
maxRounds: 3 (optional)

gemini-summarize

Summarize content:

Code

content: "Long text to summarize..."
length: "brief" | "moderate" | "detailed"
format: "paragraph" | "bullet-points" | "outline"

gemini-run-code

Let Gemini write and execute Python code:

Code

prompt: "Calculate the first 50 prime numbers and plot them"
data: "optional CSV data to analyze" (optional)

Supports libraries: numpy, pandas, matplotlib, scipy, scikit-learn, tensorflow, and more. Generated charts are saved to the output directory and returned as images.

gemini-search

Real-time web search with citations:

Code

query: "What happened in tech news this week?"
returnCitations: true (default)

Returns grounded responses with inline citations and source URLs.

gemini-structured

Get JSON responses matching a schema:

Code

prompt: "Extract the meeting details from this email..."
schema: '{"type":"object","properties":{"date":{"type":"string"},"attendees":{"type":"array"}}}'
useGoogleSearch: false (optional)

gemini-extract

Convenience tool for common extraction patterns:

Code

text: "Your text to analyze..."
extractType: "entities" | "facts" | "summary" | "keywords" | "sentiment" | "custom"
customFields: "name, date, amount" (for custom extraction)

gemini-youtube

Analyze YouTube videos directly:

Code

url: "https://www.youtube.com/watch?v=..."
question: "What happens at 2:30?"
startTime: "1m30s" (optional, for clipping)
endTime: "5m00s" (optional, for clipping)

gemini-youtube-summary

Quick video summarization:

Code

url: "https://www.youtube.com/watch?v=..."
style: "brief" | "detailed" | "bullet-points" | "chapters"

gemini-analyze-document

Analyze PDFs and documents:

Code

filePath: "/path/to/document.pdf"
question: "Summarize the key findings"
mediaResolution: "low" | "medium" | "high"

gemini-summarize-pdf

Quick PDF summarization:

Code

filePath: "/path/to/document.pdf"
style: "brief" | "detailed" | "outline" | "key-points"

gemini-extract-tables

Extract tables from documents:

Code

filePath: "/path/to/document.pdf"
outputFormat: "markdown" | "csv" | "json"

Workflow: Claude + Gemini

The killer combination for development:

Claude	Gemini
Complex logic	Frontend/UI
Architecture	Visual components
Backend code	Image generation
Integration	React/CSS styling
Reasoning	Creative generation

Example workflow:

Ask Claude to design the backend API
Use gemini-generate-image for UI mockups
Ask Gemini to generate React components via gemini-query
Use multi-turn editing to refine visuals
Let Claude wire everything together

Environment Variables

Read the full README →View source on GitHub →

Related MCP Servers

View all in Text-to-Speech View all alternatives

Adoption & maintenance

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

GitHub stars

219

Stargazers on the source repository.

npm downloads

1.4k

Package downloads in the last 30 days.

Last commit

2mo ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 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 MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "gemini-mcp": { "command": "npx", "args": ["-y","@rlabs-inc/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-mcp?style=directory)](https://allmcps.com/mcp/gemini-mcp)

HTML Embed

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

Technical Specs & Signals

CategoryText-to-Speech

11/16 checks healthy over the last 45d

59Quality signal: Good · 59/100How 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 & tools24/30

Adoption & activity10/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 5d ago via OSV.dev · @rlabs-inc/gemini-mcp (npm)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

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

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 🎧 Text-to-Speech →Alternatives to Gemini MCP →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients