MCP Nanobanana Pro

MCP server for NanoBanana AI image generation and editing

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-nanobanana-pro": {
      "command": "uvx",
      "args": [
        "mcp-nanobanana-pro"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Nanobanana Pro.

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.

Documentation Overview

NanoBananaMCP

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.

Features

Image Generation - Create high-quality images from text prompts
Image Editing - Modify existing images or combine multiple images
Virtual Try-On - Put clothing on people in photos
Product Placement - Place products in realistic scenes
Task Tracking - Monitor generation progress and retrieve results

Tool Reference

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.

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below

2. Use the Hosted Server (Recommended)

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.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

Go to Claude.ai Settings → Integrations → Add More
Enter the server URL: https://nanobanana.mcp.acedata.cloud/mcp
Complete the OAuth login flow
Start using the tools in your conversation

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

config.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 registers the hosted MCP servers with one-click setup.

JetBrains IDEs

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
Paste:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Claude Code

Claude Code supports MCP servers natively:

Terminal

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:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Amazon Q Developer

Add to your MCP configuration:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Roo Code

Add to Roo Code MCP settings:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Continue.dev

Add to .continue/config.yaml:

yaml

mcpServers:
  - name: nanobanana
    type: streamable-http
    url: https://nanobanana.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Add to Zed's settings (~/.config/zed/settings.json):

config.json

{
  "language_models": {
    "mcp_servers": {
      "nanobanana": {
        "url": "https://nanobanana.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

cURL Test

bash

# 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"}}}'

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

server.ts

# 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

Claude Desktop (Local)

config.json

{
  "mcpServers": {
    "nanobanana": {
      "command": "uvx",
      "args": ["mcp-nanobanana-pro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (Self-Hosting)

Terminal

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.

Available Tools

Image Generation

Tool	Description
`nanobanana_generate_image`	Generate an image from a text prompt
`nanobanana_edit_image`	Edit or combine images with AI

Tasks

Tool	Description
`nanobanana_get_task`	Query a single task status
`nanobanana_get_tasks_batch`	Query multiple tasks at once

Usage Examples

Generate Image from Prompt

Code

User: Create an image of a sunset over mountains

Claude: I'll generate that image for you.
[Calls nanobanana_generate_image with detailed prompt]

Virtual Try-On

Code

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]

Product Photography

Code

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]

Prompt Writing Tips

For best results, include these elements in your prompts:

Main Subject: What is the primary focus?
Atmosphere: What mood should the image convey?
Lighting: How is the scene illuminated?
Camera/Lens: What photographic style? (85mm portrait, wide-angle, etc.)
Quality Keywords: Technical descriptors (bokeh, film grain, HDR, etc.)

Example Prompt

Code

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.

Configuration

Environment Variables

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

19d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Nanobanana Pro

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-nanobanana-pro": { "command": "uvx", "args": ["mcp-nanobanana-pro"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

MCP Nanobanana Pro AllMCPs Directory Badge

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mcp-nanobanana-pro?style=directory)](https://allmcps.com/mcp/mcp-nanobanana-pro)

HTML Embed

<a href="https://allmcps.com/mcp/mcp-nanobanana-pro"><img src="https://allmcps.com/api/badge/mcp-nanobanana-pro?style=directory" alt="MCP Nanobanana Pro on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/12 checks healthy over the last 45d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity6/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev · mcp-nanobanana-pro (PyPI)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

This directory is pre-filled from public sources. Claim via GitHub README, site badge, or DNS TXT to unlock edit access and the Official badge — proof is checked automatically, then reviewed by our team.

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MCP Nanobanana Pro →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

MCP Nanobanana Pro

MCP server for NanoBanana AI image generation and editing

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-nanobanana-pro": {
      "command": "uvx",
      "args": [
        "mcp-nanobanana-pro"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Nanobanana Pro.

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.

Documentation Overview

NanoBananaMCP

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.

Features

Image Generation - Create high-quality images from text prompts
Image Editing - Modify existing images or combine multiple images
Virtual Try-On - Put clothing on people in photos
Product Placement - Place products in realistic scenes
Task Tracking - Monitor generation progress and retrieve results

Tool Reference

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.

Quick Start

1. Get Your API Token

Sign up at AceDataCloud Platform
Go to the API documentation page
Click "Acquire" to get your API token
Copy the token for use below

2. Use the Hosted Server (Recommended)

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.

Claude.ai

Connect directly on Claude.ai with OAuth — no API token needed:

Go to Claude.ai Settings → Integrations → Add More
Enter the server URL: https://nanobanana.mcp.acedata.cloud/mcp
Complete the OAuth login flow
Start using the tools in your conversation

Claude Desktop

Add to your config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cursor / Windsurf

Add to your MCP config (.cursor/mcp.json or .windsurf/mcp.json):

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

VS Code (Copilot)

Add to your VS Code MCP config (.vscode/mcp.json):

config.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 registers the hosted MCP servers with one-click setup.

JetBrains IDEs

Go to Settings → Tools → AI Assistant → Model Context Protocol (MCP)
Click Add → HTTP
Paste:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Claude Code

Claude Code supports MCP servers natively:

Terminal

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:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Cline

Add to Cline's MCP settings (.cline/mcp_settings.json):

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Amazon Q Developer

Add to your MCP configuration:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Roo Code

Add to Roo Code MCP settings:

config.json

{
  "mcpServers": {
    "nanobanana": {
      "type": "streamable-http",
      "url": "https://nanobanana.mcp.acedata.cloud/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_TOKEN"
      }
    }
  }
}

Continue.dev

Add to .continue/config.yaml:

yaml

mcpServers:
  - name: nanobanana
    type: streamable-http
    url: https://nanobanana.mcp.acedata.cloud/mcp
    headers:
      Authorization: "Bearer YOUR_API_TOKEN"

Zed

Add to Zed's settings (~/.config/zed/settings.json):

config.json

{
  "language_models": {
    "mcp_servers": {
      "nanobanana": {
        "url": "https://nanobanana.mcp.acedata.cloud/mcp",
        "headers": {
          "Authorization": "Bearer YOUR_API_TOKEN"
        }
      }
    }
  }
}

cURL Test

bash

# 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"}}}'

3. Or Run Locally (Alternative)

If you prefer to run the server on your own machine:

server.ts

# 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

Claude Desktop (Local)

config.json

{
  "mcpServers": {
    "nanobanana": {
      "command": "uvx",
      "args": ["mcp-nanobanana-pro"],
      "env": {
        "ACEDATACLOUD_API_TOKEN": "your_token_here"
      }
    }
  }
}

Docker (Self-Hosting)

Terminal

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.

Available Tools

Image Generation

Tool	Description
`nanobanana_generate_image`	Generate an image from a text prompt
`nanobanana_edit_image`	Edit or combine images with AI

Tasks

Tool	Description
`nanobanana_get_task`	Query a single task status
`nanobanana_get_tasks_batch`	Query multiple tasks at once

Usage Examples

Generate Image from Prompt

Code

User: Create an image of a sunset over mountains

Claude: I'll generate that image for you.
[Calls nanobanana_generate_image with detailed prompt]

Virtual Try-On

Code

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]

Product Photography

Code

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]

Prompt Writing Tips

For best results, include these elements in your prompts:

Main Subject: What is the primary focus?
Atmosphere: What mood should the image convey?
Lighting: How is the scene illuminated?
Camera/Lens: What photographic style? (85mm portrait, wide-angle, etc.)
Quality Keywords: Technical descriptors (bokeh, film grain, HDR, etc.)

Example Prompt

Code

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.

Configuration

Environment Variables

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

19d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Nanobanana Pro

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-nanobanana-pro": { "command": "uvx", "args": ["mcp-nanobanana-pro"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/mcp-nanobanana-pro?style=directory)](https://allmcps.com/mcp/mcp-nanobanana-pro)

HTML Embed

<a href="https://allmcps.com/mcp/mcp-nanobanana-pro"><img src="https://allmcps.com/api/badge/mcp-nanobanana-pro?style=directory" alt="MCP Nanobanana Pro on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/12 checks healthy over the last 45d

52Quality signal: Good · 52/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity6/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 2d ago via OSV.dev · mcp-nanobanana-pro (PyPI)

★ Featured

Moxie Docs MCP

MCP & Agent Skills for Automated Documentation, and codebase conventions + context

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.