@houtini/gemini-mcp

@houtini/gemini-mcp

I've been running this MCP server in my Claude Desktop setup for several months, and it's one of the few I leave enabled permanently. Not because Gemini replaces Claude -- it doesn't -- but because grounded search, deep research, image generation, and video are things Gemini does well. Having them as tools inside Claude beats switching between browser tabs.

Thirteen tools. One npx command.

MCP App previews

Generated images and diagrams render inline in Claude Desktop with zoom controls, file paths, and prompt context:

Image generation	SVG / diagram generation

Get started in two minutes

Step 1: Get a Gemini API key

Go to Google AI Studio and create one. The free tier covers most development use -- you'll hit rate limits on deep research if you're hammering it, but for day-to-day work it's fine.

Step 2: Add to your Claude Desktop config

Config file locations:

• Windows: C:\Users\{username}\AppData\Roaming\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "gemini": {
      "command": "npx",
      "args": ["@houtini/gemini-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

Step 3: Restart Claude Desktop

That's it. The tools show up automatically. npx pulls the package on first run -- no separate install.

Local build instead

For development, or if you'd rather not rely on npx:

git clone https://github.com/houtini-ai/gemini-mcp
cd gemini-mcp
npm install --include=dev
npm run build

Then point your config at the local build:

{
  "mcpServers": {
    "gemini": {
      "command": "node",
      "args": ["C:/path/to/gemini-mcp/dist/index.js"],
      "env": {
        "GEMINI_API_KEY": "your-api-key-here"
      }
    }
  }
}

What it does

Chat with Google Search grounding

Use gemini:gemini_chat to ask: "What changed in the MCP spec in the last month?"

Grounding is on by default. Gemini searches Google before answering, so you get current information rather than training data cutoff answers. Sources come back as markdown links.

For questions where you want reasoning over live search -- "explain this code" or similar -- set grounding: false.

Supports thinking_level on Gemini 3 models: high for maximum reasoning depth, low to keep it fast, medium/minimal on Gemini 3 Flash only.

Deep research

Use gemini:gemini_deep_research with:
  research_question="What are the current approaches to AI agent memory management?"
  max_iterations=5

Runs multiple grounded search iterations, then synthesises a full report. Takes 2-5 minutes depending on complexity. Worth it for anything where you need comprehensive coverage rather than a quick answer.

Set max_iterations to 3-4 in Claude Desktop (4-minute tool timeout). In IDEs (Cursor, Windsurf, VS Code) or agent frameworks with longer timeout tolerance, 7-10 iterations produces noticeably better synthesis. Pass focus_areas as an array to steer toward specific angles.

Image generation with search grounding

Use gemini:generate_image with:
  prompt="Stock price chart showing Apple (AAPL) closing prices for the last 5 trading days"
  use_search=true
  aspectRatio="16:9"

Default model is gemini-3-pro-image-preview (Nano Banana Pro). Also supports gemini-2.5-flash-image for faster generation.

When use_search=true, Gemini searches Google for current data before generating. Financial and news queries work reliably and return 2-5 grounding sources as markdown links. Weather queries are inconsistent (Gemini API limitation, not a code issue).

Video generation with Veo 3.1

Use gemini:generate_video with:
  prompt="A close-up shot of a futuristic coffee machine brewing a glowing blue espresso, steam rising dramatically. Cinematic lighting."
  resolution="1080p"
  durationSeconds=8

Uses Google's Veo 3.1 model. Generates 4-8 second videos at up to 4K resolution with native synchronised audio. Processing takes 2-5 minutes -- the tool polls automatically until the video is ready.

Options worth knowing about:

• aspectRatio -- 16:9 (landscape, default) or 9:16 (portrait/vertical)
• generateAudio -- on by default, produces dialogue and sound effects matching the prompt
• sampleCount -- generate up to 4 variations in one call
• seed -- for deterministic output across runs
• generateThumbnail -- extracts a frame via ffmpeg (needs ffmpeg in PATH)
• generateHTMLPlayer -- creates a local HTML player alongside the video

SVG generation

Use gemini:generate_svg with:
  prompt="Architecture diagram showing a microservices system with API gateway, three services, and a shared database"
  style="technical"
  width=1000
  height=600

Generates clean, production-ready SVG code for diagrams, illustrations, icons, and data visualisations. Styles: technical (diagrams), artistic (illustrations), minimal (simple), data-viz (charts).

Image editing and analysis

Conversational editing -- Gemini 3 Pro Image maintains context across editing turns using thought signatures. The server captures these automatically. Pass them back on subsequent edit calls for full continuity:

Use gemini:edit_image with:
  prompt="Change the colour scheme to blue and green"
  images=[{data: imageBase64, mimeType: "image/png", thoughtSignature: "fromPreviousCall"}]

Skip thought signatures and each edit starts from scratch.

Analysis -- two tools for different purposes:

• describe_image -- Fast general descriptions using Gemini 3 Flash
• analyze_image -- Structured extraction and detailed reasoning using Gemini 3.1 Pro

Load local files:

Use gemini:load_image_from_path with filePath="C:/screenshots/error.png"

Returns base64 data ready for any image tool.

Media resolution control

Reduce token usage by up to 75% whilst maintaining quality:

For PDF OCR, MEDIUM gives identical text extraction quality to HIGH at half the tokens. Set global_media_resolution to apply to all images, or override per-image with mediaResolution.

Landing page generation

Use gemini:generate_landing_page with:
  brief="A SaaS tool that helps developers monitor API latency"
  companyName="PingWatch"
  primaryColour="#6366F1"
  style="startup"
  sections=["hero", "features", "pricing", "cta"]

Returns a self-contained HTML file -- inline CSS and vanilla JS, no external dependencies. Styles: minimal, bold, corporate, startup.

Professional chart design systems

The gemini_prompt_assistant tool includes 9 professional chart design systems:

Use gemini:gemini_prompt_assistant with:
  request_type="template"
  use_case="product"
  desired_outcome="Generate a professional product comparison chart"

Help system

Use gemini:gemini_help with topic="overview"

Documentation for all features without leaving Claude. Topics: overview, image_generation, image_editing, image_analysis, chat, deep_research, grounding, media_resolution, models, all.

Image output and storage

Default behaviour: Images return as inline base64 previews (quality 100, 1024px) rendered directly in Claude.

Persistent storage: Set GEMINI_IMAGE_OUTPUT_DIR to auto-save all generated images:

"env": {
  "GEMINI_API_KEY": "your-api-key-here",
  "GEMINI_IMAGE_OUTPUT_DIR": "C:/Users/username/Pictures/gemini-output"
}

Every image saves with a timestamp filename. The tool returns both the inline preview and the file path.

Per-call override: Pass outputPath on any generation tool to save to a specific location.

The server uses a two-tier compression approach to handle the MCP protocol's ~1MB JSON-RPC limit whilst preserving full-resolution files on disk:

Gemini returns 2-5MB images. The full image is saved to disk immediately, and a compressed preview is created for the MCP App viewer.

Configuration reference

Tools reference

Model reference

Gemini 3 notes: Temperature is forced to 1.0 on Gemini 3 models (Google's requirement -- lower values cause looping). Thought signatures are captured automatically for conversational image editing. Thinking level only applies to gemini_chat.

Requirements

• Node.js 18+
• A Gemini API key from Google AI Studio
• ffmpeg (optional, for video thumbnail extraction)

Licence

Apache-2.0