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MCP server giving Claude Desktop access to Google AI image and video generation

Project description

Google Flow MCP

A Python MCP server that gives Claude Desktop direct access to Google AI's latest image and video generation models.

Capability Model Tier
High-quality image generation & editing Nano Banana Pro (gemini-3-pro-image) Free
Fast image generation Nano Banana 2 (gemini-3.1-flash-image) Free
Cinematic video with native audio Veo 3.1 (veo-3.1-generate-preview) Paid

Tools

Tool What it does
flow_generate_image Text → 1–4 images, up to 4K, choice of model
flow_edit_image Edit an image with natural language (inpaint, outpaint, bg-swap)
flow_generate_image_with_references Generate guided by up to 14 reference images
flow_generate_video Text → cinematic video, optional anchor frame
flow_extend_video Extend an existing Veo clip
flow_image_to_video Full pipeline: Nano Banana Pro image → Veo 3.1 video

Prerequisites

Installation

# Using uv (recommended — no virtual env setup needed)
uvx google-flow-mcp

# Or install with pip
pip install google-flow-mcp

Claude Desktop Configuration

Add the following to your Claude Desktop config file:

{
  "mcpServers": {
    "google-flow": {
      "command": "uvx",
      "args": ["google-flow-mcp"],
      "env": {
        "GOOGLE_API_KEY": "YOUR_GOOGLE_AI_STUDIO_KEY"
      }
    }
  }
}

Config file locations

Platform Path
Windows Store %LOCALAPPDATA%\Packages\Claude_pzs8sxrjxfjjc\LocalCache\Roaming\Claude\claude_desktop_config.json
Windows Direct %APPDATA%\Claude\claude_desktop_config.json
macOS ~/Library/Application Support/Claude/claude_desktop_config.json
Linux ~/.config/Claude/claude_desktop_config.json

After editing the config, restart Claude Desktop.

Output Directory

Generated files are saved to ~/google_flow_outputs/ by default.

Override with the FLOW_OUTPUT_DIR environment variable:

"env": {
  "GOOGLE_API_KEY": "YOUR_KEY",
  "FLOW_OUTPUT_DIR": "/Users/you/Pictures/ai-outputs"
}

Usage Examples

Once connected, ask Claude naturally:

  • "Generate a photo-realistic image of a neon-lit Tokyo alley at night"
  • "Edit this image to remove the background and replace it with a forest"
  • "Generate a video of a rocket launching from a desert at dusk with dramatic audio"
  • "Create an anchor image of ocean waves, then animate it into a video"

Important Notes

  • Image generation (Nano Banana Pro / Nano Banana 2) works on the free tier.
  • Video generation (Veo 3.1) requires a paid Google AI API plan.
  • All Veo videos are SynthID-watermarked by Google.
  • Generated videos are stored on Google's servers for 2 days after creation.
  • Video generation typically takes 1–4 minutes — Claude will wait automatically.

Development

git clone https://github.com/joshuadaniel-8090/google-flow-mcp
cd google-flow-mcp
pip install -e ".[dev]"
pytest -v

License

Apache 2.0 — see LICENSE.

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