nanobanana-2-polzaia-mcp-server 0.4.4

An MCP server for Nano Banana image generation through the Polza AI media API

Nano Banana 2 Polza AI MCP Server

MCP server for image generation and editing through Polza AI, using:

• google/gemini-3.1-flash-image-preview as the default Nano Banana 2 model
• google/gemini-3-pro-image-preview for higher-quality compositions
• google/gemini-2.5-flash-image for faster draft generation

This project exposes MCP tools like:

• generate_image
• upload_file
• output_stats
• maintenance

What Users Need

• Claude Code or another MCP client
• uv
• Python 3.11+
• a POLZA_AI_API_KEY

Local Development

git clone https://github.com/ivanantigravity-lgtm/nanobanana-2-polzaia-mcp-server.git
cd nanobanana-2-polzaia-mcp-server
uv sync
cp .env.example .env

Set at minimum:

POLZA_AI_API_KEY=your_polza_api_key
POLZA_BASE_URL=https://polza.ai/api
IMAGE_OUTPUT_DIR=/absolute/path/to/output

Run locally:

uv run python -m nanobanana_mcp_server.server

Claude Code / VS Code

If the package is published to PyPI, the easy install path is a project-level .mcp.json:

{
  "mcpServers": {
    "nanobanana-polza": {
      "command": "uvx",
      "args": ["nanobanana-2-polzaia-mcp-server@latest"],
      "env": {
        "POLZA_AI_API_KEY": "your-polza-api-key-here",
        "POLZA_BASE_URL": "https://polza.ai/api",
        "IMAGE_OUTPUT_DIR": "/Users/demo/Documents/nanobanana"
      }
    }
  }
}

If the user runs from source instead of a published package:

{
  "mcpServers": {
    "nanobanana-polza-local": {
      "command": "uv",
      "args": ["run", "python", "-m", "nanobanana_mcp_server.server"],
      "cwd": "/absolute/path/to/nanobanana-2-polzaia-mcp-server",
      "env": {
        "POLZA_AI_API_KEY": "your-polza-api-key-here",
        "POLZA_BASE_URL": "https://polza.ai/api",
        "IMAGE_OUTPUT_DIR": "/absolute/path/to/output"
      }
    }
  }
}

Claude Desktop

On macOS, add the same server to:

~/Library/Application Support/Claude/claude_desktop_config.json

Example:

{
  "mcpServers": {
    "nanobanana-polza": {
      "command": "uvx",
      "args": ["nanobanana-2-polzaia-mcp-server@latest"],
      "env": {
        "POLZA_AI_API_KEY": "your-polza-api-key-here",
        "POLZA_BASE_URL": "https://polza.ai/api",
        "IMAGE_OUTPUT_DIR": "/Users/demo/Documents/nanobanana"
      }
    }
  }
}

What Still Needs To Be Published

To make installation as easy as the screenshot flow:

1. Publish the Python package to PyPI
2. Update repository URLs in pyproject.toml and server.json
3. Publish server.json to the MCP Registry

The registry only stores metadata. The actual package still needs to exist on PyPI.

Publish Checklist

Before publishing:

1. Create the GitHub repo ivanantigravity-lgtm/nanobanana-2-polzaia-mcp-server
2. Bump the version
3. Build and test:

PYTHONPYCACHEPREFIX=/tmp/pycache python3 -m compileall nanobanana_mcp_server tests
uv build

4. Publish to PyPI

uv publish

5. Publish server.json with mcp-publisher

brew install mcp-publisher
mcp-publisher login
mcp-publisher publish

Backend Notes

This server uses:

• POST /v1/media
• GET /v1/media/{id}
• POST /v1/storage/upload
• GET /v1/storage/files/{id}
• DELETE /v1/storage/files/{id}

through the Polza AI API.