Gemini Mcp

io.github.RLabs-IncPublished by GitHub account RLabs-Incv0.7.1Updated Oct 24, 2026

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

Overview

AI-generated overview

A local MCP server that connects Claude to Google Gemini 3 models for queries, image and video generation, research, speech, code execution and document or web-

What you can do
Query Gemini Pro or Flash models directly and run collaborative brainstorming rounds with thinking-level control, token counting and context caching for large documents. Generate and iteratively edit images up to 4K, create videos with Veo and poll their status, and produce text-to-speech with selectable voices. Run web search with citations, deep multi-step research, URL analysis and comparison, and YouTube video analysis or summarization. Analyze code and text, summarize content, extract entities, facts and tables, and return schema-validated JSON. Analyze PDFs and documents, and let Gemini write and execute Python code, returning generated charts as images.
When to use it
Useful when you want Claude to delegate to Gemini for image or video generation, grounded web search and research, speech synthesis, document and YouTube analysis, or Python data work. Also fits workflows that pair Claude's reasoning with Gemini's creative and visual output.
Requirements
Runs locally via npx or bunx from the npm package, or as a globally installed CLI. Requires a Google Gemini API key supplied in GEMINI_API_KEY; an optional GEMINI_OUTPUT_DIR sets where generated files are saved. Network access to Google's API is needed, and a proxy can be configured through HTTP_PROXY or HTTPS_PROXY.
Before you install
The Gemini API key is a secret passed in GEMINI_API_KEY and should not be committed to config files. API calls may incur costs, and free-tier rate limits apply. Generated images, videos, audio and charts are written to the output directory. Gemini-run Python code executes on your machine, and prompts, documents, URLs and YouTube links are sent to Google.

Installation

In SourceWeft

  1. Open Gemini Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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!

[npm version] [MCP Registry]

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

Features

FeatureDescription
Deep Research AgentAutonomous multi-step research with web search and citations
Token CountingCount tokens and estimate costs before API calls
Text-to-Speech30 unique voices, single speaker or two-speaker dialogues
URL AnalysisAnalyze, compare, and extract data from web pages
Context CachingCache large documents for efficient repeated queries
YouTube AnalysisAnalyze videos by URL with timestamp clipping
Document AnalysisPDFs, DOCX, spreadsheets with table extraction
4K Image GenerationGenerate images up to 4K with 10 aspect ratios
Multi-Turn Image EditingIteratively refine images through conversation
Video GenerationCreate videos with Veo 2.0 (async with polling)
Code ExecutionGemini writes and runs Python code (pandas, numpy, matplotlib)
Google SearchReal-time web information with inline citations
Structured OutputJSON responses with schema validation
Data ExtractionExtract entities, facts, sentiment from text
Thinking LevelsControl reasoning depth (minimal/low/medium/high)
Direct QuerySend prompts to Gemini 3 Pro/Flash models
BrainstormingClaude + Gemini collaborative problem-solving
Code AnalysisAnalyze code for quality, security, performance
SummarizationSummarize 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 bunclaude mcp add gemini -s user -- env GEMINI_API_KEY=YOUR_KEY bunx @rlabs-inc/gemini-mcp

CLI (Global Install)

bash
# Install globallynpm 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 loggingclaude 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/videosclaude 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:

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!):

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:

prompt: "a cozy cabin in the mountains"aspectRatio: "16:9"imageSize: "2K"useGoogleSearch: falsethinkingLevel: "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:

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

gemini-end-image-edit

Close an editing session:

sessionId: "edit-123456789"

gemini-list-image-sessions

List all active editing sessions.

gemini-generate-video

Generate videos using Veo:

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:

operationId: "operations/xxx-xxx-xxx"

gemini-analyze-code

Analyze code for issues:

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

gemini-analyze-text

Analyze text content:

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

gemini-brainstorm

Collaborative brainstorming:

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

gemini-summarize

Summarize content:

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

gemini-run-code

Let Gemini write and execute Python 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:

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:

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:

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:

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:

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

gemini-analyze-document

Analyze PDFs and documents:

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

gemini-summarize-pdf

Quick PDF summarization:

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

gemini-extract-tables

Extract tables from documents:

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

Workflow: Claude + Gemini

The killer combination for development:

ClaudeGemini
Complex logicFrontend/UI
ArchitectureVisual components
Backend codeImage generation
IntegrationReact/CSS styling
ReasoningCreative generation

Example workflow:

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

Environment Variables

VariableRequiredDefaultDescription
GEMINI_API_KEYYes-Your Google Gemini API key
GEMINI_OUTPUT_DIRNo./gemini-outputWhere to save generated files
GEMINI_MODELNo-Override model for init test
GEMINI_PRO_MODELNogemini-3-pro-previewPro model (Gemini 3)
GEMINI_FLASH_MODELNogemini-3-flash-previewFlash model (Gemini 3)
GEMINI_IMAGE_MODELNogemini-3-pro-image-previewImage model (Nano Banana Pro)
GEMINI_IMAGE_THINKING_LEVELNohighDefault thinking level for image generation (minimal, low, medium, high)
GEMINI_VIDEO_MODELNoveo-2.0-generate-001Video model
VERBOSENofalseEnable verbose logging
QUIETNofalseMinimize logging
GEMINI_ENABLED_TOOLSNo-Comma-separated list of tool groups to load (e.g., query,search,image-gen)
GEMINI_TOOL_PRESETNo-Preset profile: minimal, text, image, research, media, full

Tool Configuration

By default, all 37 tools are loaded. To reduce context usage, configure which tools to load:

Available Presets

PresetTool Groups
minimalquery, brainstorm
textquery, brainstorm, analyze, summarize, structured
imagequery, image-gen, image-edit, image-analyze
researchquery, search, deep-research, url-context, document
mediaquery, image-gen, image-edit, image-analyze, video-gen, youtube, speech
fullAll 18 tool groups (default)

Using Presets

bash
# Minimal - query and brainstormGEMINI_TOOL_PRESET=minimal
# Text processingGEMINI_TOOL_PRESET=text  # query, brainstorm, analyze, summarize, structured
# Image workflowsGEMINI_TOOL_PRESET=image  # query, image-gen, image-edit, image-analyze
# Research workflowsGEMINI_TOOL_PRESET=research  # query, search, deep-research, url-context, document

Using Explicit Tool Lists

bash
# Only specific toolsGEMINI_ENABLED_TOOLS=query,search,image-gen

Combining Preset + Explicit

bash
# Start with preset, add extrasGEMINI_TOOL_PRESET=minimalGEMINI_ENABLED_TOOLS=search,image-gen  # Adds to minimal preset

Available Tool Groups

GroupTools
querygemini-query
brainstormgemini-brainstorm
analyzegemini-analyze-code, gemini-analyze-text
summarizegemini-summarize
image-gengemini-generate-image, gemini-image-prompt
image-editgemini-start-image-edit, gemini-continue-image-edit, gemini-end-image-edit, gemini-list-image-sessions
video-gengemini-generate-video, gemini-check-video
code-execgemini-run-code
searchgemini-search
structuredgemini-structured, gemini-extract
youtubegemini-youtube, gemini-youtube-summary
documentgemini-analyze-document, gemini-summarize-pdf, gemini-extract-tables
url-contextgemini-analyze-url, gemini-compare-urls, gemini-extract-from-url
cachegemini-create-cache, gemini-query-cache, gemini-list-caches, gemini-delete-cache
speechgemini-speak, gemini-dialogue, gemini-list-voices
token-countgemini-count-tokens
deep-researchgemini-deep-research, gemini-check-research, gemini-research-followup
image-analyzegemini-analyze-image

Manual Installation

Global Install

bash
# Using npmnpm install -g @rlabs-inc/gemini-mcp
# Using bunbun install -g @rlabs-inc/gemini-mcp

Claude Code Configuration

json
{  "gemini": {    "command": "npx",    "args": ["-y", "@rlabs-inc/gemini-mcp"],    "env": {      "GEMINI_API_KEY": "your-api-key",      "GEMINI_OUTPUT_DIR": "/path/to/save/files"    }  }}

If you must use a proxy to establish a connection to gemini, replace xxxx with your actual proxy port:

json
{  "gemini": {    "command": "npx",    "args": ["-y", "@rlabs-inc/gemini-mcp"],    "env": {      "GEMINI_API_KEY": "your-api-key",      "GEMINI_OUTPUT_DIR": "/path/to/save/files",      "HTTP_PROXY": "http://127.0.0.1:xxxx",      "HTTPS_PROXY": "http://127.0.0.1:xxxx"    }  }}

Troubleshooting

Rate Limits (429 Errors)

If you're hitting rate limits on the free tier:

  • Set GEMINI_MODEL=gemini-3-flash-preview to use Flash for init (higher limits)
  • Or upgrade to a paid plan

Connection Issues

  1. Verify your API key at Google AI Studio
  2. Check server status: claude mcp list
  3. Try with verbose logging: VERBOSE=true

Image/Video Issues

  • Ensure your API key has access to image/video generation
  • Check output directory permissions
  • Files save to GEMINI_OUTPUT_DIR (default: ./gemini-output)
  • For 4K images, generation takes longer

Previous Versions

0.7.2

Beautiful CLI with Themes! Use Gemini directly from your terminal:

bash
# Install globallynpm install -g @rlabs-inc/gemini-mcp
# Set your API key oncegcli config set api-key YOUR_KEY
# Generate images, videos, search, research, and more!gcli image "a cat astronaut" --size 4Kgcli search "latest AI news"gcli research "quantum computing applications" --waitgcli speak "Hello world" --voice Puck

5 Beautiful Themes: terminal, neon, ocean, forest, minimal

CLI Commands:

  • gcli query - Direct Gemini queries with thinking levels
  • gcli search - Real-time web search with citations
  • gcli research - Deep research agent
  • gcli image - Generate images (up to 4K)
  • gcli video - Generate videos with Veo
  • gcli speak - Text-to-speech with 30 voices
  • gcli tokens - Count tokens and estimate costs
  • gcli config - Manage settings

v0.6.x: Deep Research, Token Counting, TTS, URL analysis, Context Caching v0.5.x: 30+ tools, YouTube analysis, Document analysis v0.4.x: Code execution, Google Search v0.3.x: Thinking levels, Structured output, 4K images v0.2.x: Image/Video generation with Veo


Development

bash
git clone https://github.com/rlabs-inc/gemini-mcp.gitcd gemini-mcpbun installbun run buildbun run dev -- --verbose

Scripts

CommandDescription
bun run buildBuild for production
bun run devDevelopment mode with watch
bun run typecheckType check without emitting
bun run formatFormat with Prettier
bun run lintLint with ESLint

License

MIT License


Made with Claude + Gemini working together

Source: README.md at commit 9cea2e2

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.7.1LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts