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MCP server for NanoBanana AI image generation and editing
MCP server for NanoBanana AI image generation and editing
Remote endpoints: streamable-http: https://nanobanana.mcp.acedata.cloud/mcp
Valid MCP server (2 strong, 1 medium validity signals). 4 known CVEs in dependencies (0 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
7 files analyzed · 5 issues found
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Set these up before or after installing:
Environment variable: ACEDATACLOUD_API_TOKEN
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
A Model Context Protocol (MCP) server for AI image generation and editing using Google's Nano Banana model through the AceDataCloud API.
Generate and edit AI images directly from Claude, VS Code, or any MCP-compatible client.
| Tool | Description |
|---|---|
nanobanana_generate_image | Generate an AI image from a text prompt using Google's Nano Banana model. |
nanobanana_edit_image | Edit or combine images using AI based on a text prompt. |
nanobanana_get_task | Query the status and result of an image generation or edit task. |
nanobanana_get_tasks_batch | Query multiple image generation/edit tasks at once. |
AceDataCloud hosts a managed MCP server — no local installation required.
Endpoint: https://nanobanana.mcp.acedata.cloud/mcp
All requests require a Bearer token. Use the API token from Step 1.
Connect directly on Claude.ai with OAuth — no API token needed:
https://nanobanana.mcp.acedata.cloud/mcpAdd to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"nanobanana": {
"type": "streamable-http",
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):
{
"mcpServers": {
"nanobanana": {
"type": "streamable-http",
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your VS Code MCP config (.vscode/mcp.json):
{
"servers": {
"nanobanana": {
"type": "streamable-http",
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Or install the Ace Data Cloud MCP extension for VS Code, which bundles all 15 MCP servers with one-click setup.
{
"mcpServers": {
"nanobanana": {
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Claude Code supports MCP servers natively:
claude mcp add nanobanana --transport http https://nanobanana.mcp.acedata.cloud/mcp \
-h "Authorization: Bearer YOUR_API_TOKEN"
Or add to your project's .mcp.json:
{
"mcpServers": {
"nanobanana": {
"type": "streamable-http",
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to Cline's MCP settings (.cline/mcp_settings.json):
{
"mcpServers": {
"nanobanana": {
"type": "streamable-http",
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to your MCP configuration:
{
"mcpServers": {
"nanobanana": {
"type": "streamable-http",
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to Roo Code MCP settings:
{
"mcpServers": {
"nanobanana": {
"type": "streamable-http",
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
Add to .continue/config.yaml:
mcpServers:
- name: nanobanana
type: streamable-http
url: https://nanobanana.mcp.acedata.cloud/mcp
headers:
Authorization: "Bearer YOUR_API_TOKEN"
Add to Zed's settings (~/.config/zed/settings.json):
{
"language_models": {
"mcp_servers": {
"nanobanana": {
"url": "https://nanobanana.mcp.acedata.cloud/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
}
# Health check (no auth required)
curl https://nanobanana.mcp.acedata.cloud/health
# MCP initialize
curl -X POST https://nanobanana.mcp.acedata.cloud/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-H "Authorization: Bearer YOUR_API_TOKEN" \
-d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'
If you prefer to run the server on your own machine:
# Install from PyPI
pip install mcp-nanobanana-pro
# or
uvx mcp-nanobanana-pro
# Set your API token
export ACEDATACLOUD_API_TOKEN="your_token_here"
# Run (stdio mode for Claude Desktop / local clients)
mcp-nanobanana-pro
# Run (HTTP mode for remote access)
mcp-nanobanana-pro --transport http --port 8000
{
"mcpServers": {
"nanobanana": {
"command": "uvx",
"args": ["mcp-nanobanana-pro"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_token_here"
}
}
}
}
docker pull ghcr.io/acedatacloud/mcp-nanobanana-pro:latest
docker run -p 8000:8000 ghcr.io/acedatacloud/mcp-nanobanana-pro:latest
Clients connect with their own Bearer token — the server extracts the token from each request's Authorization header.
| Tool | Description |
|---|---|
nanobanana_generate_image | Generate an image from a text prompt |
nanobanana_edit_image | Edit or combine images with AI |
| Tool | Description |
|---|---|
nanobanana_get_task | Query a single task status |
nanobanana_get_tasks_batch | Query multiple tasks at once |
User: Create an image of a sunset over mountains
Claude: I'll generate that image for you.
[Calls nanobanana_generate_image with detailed prompt]
User: Put this shirt on this model
[Provides two image URLs]
Claude: I'll combine these images.
[Calls nanobanana_edit_image with both image URLs]
User: Place this product in a modern kitchen scene
[Provides product image URL]
Claude: I'll create a product scene for you.
[Calls nanobanana_edit_image with scene description]
For best results, include these elements in your prompts:
A photorealistic close-up portrait of an elderly Japanese ceramicist
with deep wrinkles and a warm smile. Soft golden hour light streaming
through a window. Captured with an 85mm portrait lens, soft bokeh
background. Serene and masterful mood.
| Variable | Description | Default |
|---|---|---|
ACEDATACLOUD_API_TOKEN | API token from AceDataCloud | Required |
ACEDATACLOUD_API_BASE_URL | API base URL | https://api.acedata.cloud |
ACEDATACLOUD_OAUTH_CLIENT_ID | OAuth client ID (hosted mode) | — |
ACEDATACLOUD_PLATFORM_BASE_URL | Platform base URL | https://platform.acedata.cloud |
NANOBANANA_REQUEST_TIMEOUT | Request timeout in seconds | 1800 |
LOG_LEVEL | Logging level | INFO |
mcp-nanobanana-pro --help
Options:
--version Show version
--transport Transport mode: stdio (default) or http
--port Port for HTTP transport (default: 8000)
# Clone repository
git clone https://github.com/AceDataCloud/NanoBananaMCP.git
cd NanoBananaMCP
# Create virtual environment
python -m venv .venv
source .venv/bin/activate # or `.venv\Scripts\activate` on Windows
# Install with dev dependencies
pip install -e ".[dev,test]"
# Run unit tests
pytest
# Run with coverage
pytest --cov=core --cov=tools
# Run integration tests (requires API token)
pytest tests/test_integration.py -m integration
# Format code
ruff format .
# Lint code
ruff check .
# Type check
mypy core tools
# Install build dependencies
pip install -e ".[release]"
# Build package
python -m build
# Upload to PyPI
twine upload dist/*
NanoBanana/
├── core/ # Core modules
│ ├── __init__.py
│ ├── client.py # HTTP client for NanoBanana API
│ ├── config.py # Configuration management
│ ├── exceptions.py # Custom exceptions
│ ├── server.py # MCP server initialization
│ ├── types.py # Type definitions
│ └── utils.py # Utility functions
├── tools/ # MCP tool definitions
│ ├── __init__.py
│ ├── image_tools.py # Image generation/editing tools
│ └── task_tools.py # Task query tools
├── prompts/ # MCP prompt templates
│ └── __init__.py
├── tests/ # Test suite
├── deploy/ # Deployment configs
│ └── production/
│ ├── deployment.yaml
│ ├── ingress.yaml
│ └── service.yaml
├── .env.example # Environment template
├── .gitignore
├── Dockerfile # Docker image for HTTP mode
├── docker-compose.yaml # Docker Compose config
├── LICENSE
├── main.py # Entry point
├── pyproject.toml # Project configuration
└── README.md
This server wraps the AceDataCloud NanoBanana API:
Contributions are welcome! Please:
git checkout -b feature/amazing)git commit -m 'Add amazing feature')git push origin feature/amazing)MIT License - see LICENSE for details.
Made with love by AceDataCloud
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