Content
# 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!
[](https://www.npmjs.com/package/@rlabs-inc/gemini-mcp)
[](https://registry.modelcontextprotocol.io)
**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](https://aistudio.google.com/apikey) - 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:
```
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)
```
### gemini-start-image-edit
Start a multi-turn image editing session:
```
prompt: "a cozy cabin in the mountains"
aspectRatio: "16:9"
imageSize: "2K"
useGoogleSearch: false
```
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:
| Claude | Gemini |
|--------|--------|
| Complex logic | Frontend/UI |
| Architecture | Visual components |
| Backend code | Image generation |
| Integration | React/CSS styling |
| Reasoning | Creative 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
| Variable | Required | Default | Description |
|-------------------------|----------|------------------------------|-------------------------------|
| `GEMINI_API_KEY` | Yes | - | Your Google Gemini API key |
| `GEMINI_OUTPUT_DIR` | No | `./gemini-output` | Where to save generated files |
| `GEMINI_MODEL` | No | - | Override model for init test |
| `GEMINI_PRO_MODEL` | No | `gemini-3-pro-preview` | Pro model (Gemini 3) |
| `GEMINI_FLASH_MODEL` | No | `gemini-3-flash-preview` | Flash model (Gemini 3) |
| `GEMINI_IMAGE_MODEL` | No | `gemini-3-pro-image-preview` | Image model (Nano Banana Pro) |
| `GEMINI_VIDEO_MODEL` | No | `veo-2.0-generate-001` | Video model |
| `VERBOSE` | No | `false` | Enable verbose logging |
| `QUIET` | No | `false` | Minimize logging |
| `GEMINI_ENABLED_TOOLS` | No | - | Comma-separated list of tool groups to load (e.g., `query,search,image-gen`) |
| `GEMINI_TOOL_PRESET` | No | - | 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
| Preset | Tool Groups |
|--------|-------------|
| `minimal` | query, brainstorm |
| `text` | query, brainstorm, analyze, summarize, structured |
| `image` | query, image-gen, image-edit, image-analyze |
| `research` | query, search, deep-research, url-context, document |
| `media` | query, image-gen, image-edit, image-analyze, video-gen, youtube, speech |
| `full` | All 18 tool groups (default) |
### Using Presets
```bash
# Minimal - query and brainstorm
GEMINI_TOOL_PRESET=minimal
# Text processing
GEMINI_TOOL_PRESET=text # query, brainstorm, analyze, summarize, structured
# Image workflows
GEMINI_TOOL_PRESET=image # query, image-gen, image-edit, image-analyze
# Research workflows
GEMINI_TOOL_PRESET=research # query, search, deep-research, url-context, document
```
### Using Explicit Tool Lists
```bash
# Only specific tools
GEMINI_ENABLED_TOOLS=query,search,image-gen
```
### Combining Preset + Explicit
```bash
# Start with preset, add extras
GEMINI_TOOL_PRESET=minimal
GEMINI_ENABLED_TOOLS=search,image-gen # Adds to minimal preset
```
### Available Tool Groups
| Group | Tools |
|-------|-------|
| `query` | gemini-query |
| `brainstorm` | gemini-brainstorm |
| `analyze` | gemini-analyze-code, gemini-analyze-text |
| `summarize` | gemini-summarize |
| `image-gen` | gemini-generate-image, gemini-image-prompt |
| `image-edit` | gemini-start-image-edit, gemini-continue-image-edit, gemini-end-image-edit, gemini-list-image-sessions |
| `video-gen` | gemini-generate-video, gemini-check-video |
| `code-exec` | gemini-run-code |
| `search` | gemini-search |
| `structured` | gemini-structured, gemini-extract |
| `youtube` | gemini-youtube, gemini-youtube-summary |
| `document` | gemini-analyze-document, gemini-summarize-pdf, gemini-extract-tables |
| `url-context` | gemini-analyze-url, gemini-compare-urls, gemini-extract-from-url |
| `cache` | gemini-create-cache, gemini-query-cache, gemini-list-caches, gemini-delete-cache |
| `speech` | gemini-speak, gemini-dialogue, gemini-list-voices |
| `token-count` | gemini-count-tokens |
| `deep-research` | gemini-deep-research, gemini-check-research, gemini-research-followup |
| `image-analyze` | gemini-analyze-image |
---
## Manual Installation
### Global Install
```bash
# Using npm
npm install -g @rlabs-inc/gemini-mcp
# Using bun
bun 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"
}
}
}
```
---
## 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](https://aistudio.google.com/apikey)
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 globally
npm install -g @rlabs-inc/gemini-mcp
# Set your API key once
gcli config set api-key YOUR_KEY
# Generate images, videos, search, research, and more!
gcli image "a cat astronaut" --size 4K
gcli search "latest AI news"
gcli research "quantum computing applications" --wait
gcli 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.git
cd gemini-mcp
bun install
bun run build
bun run dev -- --verbose
```
### Scripts
| Command | Description |
|---------------------|-----------------------------|
| `bun run build` | Build for production |
| `bun run dev` | Development mode with watch |
| `bun run typecheck` | Type check without emitting |
| `bun run format` | Format with Prettier |
| `bun run lint` | Lint with ESLint |
---
## License
MIT License
---
Made with Claude + Gemini working together
