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NanoBanana Pro 2

4K AI image generation via NanoBanana Pro 2: Pro + Flash models, Google Search grounding

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About NanoBanana Pro 2

NanoBanana Pro 2 is an MCP server in the Search category: 4K AI image generation via NanoBanana Pro 2: Pro + Flash models, Google Search grounding. It has been installed 0 times through Conduid.

Install

uvx
uvx nanobanana-imagen-mcp
pip
pip install nanobanana-imagen-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README


CLI Install check Version check
veo-mcp-server veo-mcp-server --help veo-mcp-server --version
nanobanana-imagen-mcp nanobanana-imagen-mcp --help nanobanana-imagen-mcp --version

What is This?

Gemini Media MCP is a comprehensive toolkit that brings Google's most powerful AI media generation models into any MCP-compatible AI assistant. Generate 4K videos with VEO 3.1, create stunning images with NanoBanana Pro 2, and craft professional prompts with built-in skills -- all from a single repository.

What's Included

MCP Servers

Server Description Tools
VEO 3.1 AI video generation (text-to-video, image-to-video, extend, interpolate) 9 tools
NanoBanana AI image generation with NanoBanana Pro 2 (Pro + Flash models) 4 tools

Claude Code Skills (Plugin Marketplace)

Skill Description
VEO Prompting 7-layer prompt engineering for cinematic VEO 3.1 videos
NanoBanana Prompting 7-layer prompt engineering for photorealistic NanoBanana Pro 2 images

Install skills via Claude Code:

/plugin marketplace add u2n4/gemini-media-mcp

Quick Start

This repo hosts two independent MCP servers. Install whichever you need — or both. Each server publishes to PyPI separately.

Option A — uvx (zero-install, recommended)

Add a block to your MCP client config (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf) using the appropriate server block below (see VEO Server / NanoBanana Server sections).

Option B — clone + editable install

git clone https://github.com/u2n4/gemini-media-mcp.git
cd gemini-media-mcp

# Create a virtual environment (uv pip install requires one — or pass --system)
uv venv
source .venv/bin/activate     # macOS / Linux
# .venv\Scripts\activate     # Windows PowerShell

# Install one or both sub-packages
uv pip install -e servers/veo
uv pip install -e servers/nanobanana

VEO Server

uvx (zero-install):

{
  "mcpServers": {
    "veo": {
      "command": "uvx",
      "args": ["veo-mcp-server"],
      "env": {
        "GEMINI_API_KEY": "your_key",
        "VIDEO_OUTPUT_DIR": "./videos"
      }
    }
  }
}

Claude Code:

claude mcp add veo -s user -e GEMINI_API_KEY=your_key -- uvx veo-mcp-server

pip install:

pip install veo-mcp-server

NanoBanana Server

uvx (zero-install):

{
  "mcpServers": {
    "nanobanana": {
      "command": "uvx",
      "args": ["nanobanana-imagen-mcp"],
      "env": {
        "GEMINI_API_KEY": "your_key"
      }
    }
  }
}

Claude Code:

claude mcp add nanobanana -s user -e GEMINI_API_KEY=your_key -- uvx nanobanana-imagen-mcp

pip install:

pip install nanobanana-imagen-mcp

VEO Server

AI video generation powered by Google VEO 3.1. Uses an async job pattern where generation starts in the background and returns a job ID for polling -- no timeouts.

Tools

Tool Description
veo_generate_video Generate video from text prompt. Supports 720p/1080p/4K, 16:9 or 9:16, 4/6/8 second duration, negative prompts, reference images, seed control, and batch generation (1-4 videos).
veo_image_to_video Animate a reference image with a motion prompt.
veo_interpolate_video Create smooth transition between two frames (first frame + last frame).
veo_extend_video Extend an existing VEO video by ~7 seconds. 720p only, max 148 seconds total.
veo_check_job Check async job status. Call every 15-20 seconds until completed or failed.
veo_list_jobs List all generation jobs and their current status.
veo_api_status Check API key status -- keys configured, active key, keys remaining.
veo_pricing_info Show pricing per second for standard and fast models at all resolutions.
veo_show_output_stats Display generation statistics -- video count, total size, file details, job statuses.

VEO Configuration

Variable Description Default
GEMINI_API_KEY Primary API key (required) --
GEMINI_API_KEY_BACKUP Backup key for auto-rotation --
VIDEO_OUTPUT_DIR Output directory for videos ~/veo-videos

VEO Models

Tier Model Best For
Standard veo-3.1-generate-preview Higher quality output
Fast veo-3.1-fast-generate-preview Quicker generation

NanoBanana Server

AI image generation powered by NanoBanana Pro 2. Supports Pro (maximum quality) and Flash (fast) models with default 4K resolution.

Tools

Tool Description
generate_image Generate images using NanoBanana Pro 2 (Pro or Flash). Supports aspect ratio, resolution (up to 4K), negative prompts, thinking level, grounding, and reference images.
upload_file Upload reference image for editing or conditioning.
show_output_stats Display generation statistics -- image count, total size, file details.
maintenance Server maintenance and cleanup -- clear caches, remove temporary files.

Models

Model Engine Best For
Pro Gemini 3 Pro Image Maximum quality, complex scenes
Flash Gemini 3.1 Flash Image Fast generation, simple scenes

Prompting Skills

VEO Prompting Skill

7-layer prompt engineering system for VEO 3.1:

  1. Cinematography (camera, shot type, lens, angles)
  2. Subject (characters, objects, material cues)
  3. Action (force-based verbs, timestamp beats)
  4. Environment (time of day, weather, depth layers)
  5. Lighting & Mood (physical light sources, color temperature)
  6. Audio Design (dialogue, SFX, ambient, music)
  7. Technical Controls (negative prompts, style anchors, film stocks)

NanoBanana Prompting Skill

7-layer prompt engineering system for NanoBanana Pro 2:

  1. Style & Art Direction (visual DNA)
  2. Scene Description (environment, atmosphere)
  3. Main Subject (hero element with extreme specificity)
  4. Camera & Lens (real camera specs for realism)
  5. Lighting (natural, studio, color temperature)
  6. Texture, Material & Color (tactile detail)
  7. Negative Prompts (quality guards)

Architecture

gemini-media-mcp/
├── servers/
│   ├── veo/                       # VEO 3.1 MCP Server (PyPI: veo-mcp-server)
│   │   ├── pyproject.toml
│   │   ├── requirements.txt
│   │   └── src/
│   │       └── veo_mcp_server/
│   │           ├── __init__.py
│   │           ├── __main__.py
│   │           └── server.py
│   └── nanobanana/                # NanoBanana MCP Server (PyPI: nanobanana-imagen-mcp)
│       ├── pyproject.toml
│       ├── requirements.txt
│       └── nanobanana_mcp_server/ # Package
├── skills/
│   ├── veo-prompting/             # VEO prompting skill
│   │   └── SKILL.md
│   └── nanobanana-prompting/      # NanoBanana prompting skill
│       └── SKILL.md
├── plugins/                       # Claude Code Plugin Marketplace
│   ├── veo-prompting/
│   │   ├── .claude-plugin/
│   │   │   └── plugin.json
│   │   └── skills/
│   │       └── veo-prompting/
│   │           └── SKILL.md
│   └── nanobanana-prompting/
│       ├── .claude-plugin/
│       │   └── plugin.json
│       └── skills/
│           └── nanobanana-prompting/
│               └── SKILL.md
├── .claude-plugin/
│   └── marketplace.json
├── .env.example
├── .gitignore
├── CHANGELOG.md
├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── llms.txt
└── llms-install.md

Contributing

See CONTRIBUTING.md.

License

MIT -- see LICENSE.

Credits

  • NanoBanana MCP Server: inspired by the nano-banana naming convention used across the MCP community. This is an independent implementation.
  • VEO 3.1 by Google DeepMind

Support

If you find this useful, please star this repository!


Made with ❤️ in the Eastern Province of Saudi Arabia.

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About NanoBanana Pro 2

How do I install NanoBanana Pro 2?

Run uvx nanobanana-imagen-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is NanoBanana Pro 2 safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is NanoBanana Pro 2 still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.