Nano Banana 2 Lite with MCP, and Antigravity CLI

This article covers the MCP setup and configuration for using Google Nano Banana 2 Lite and underlying Gemini LLM with Antigravity CLI to enhance and extend image operations over the MCP protocol.

, ]

Key Features

• 
  Lightning-Fast Latency: Capable of generating high-quality images in about 4 seconds. []


• 
  Cost-Efficient Pricing: Priced at approximately $0.034 per 1,000 images in Google AI Studio, undercutting standard models and previous versions. [, , ,
  
  
  

  and here:

  
  
  
  
  

  
  
  
  Testing the Antigravity CLI Environment
  

  
  
  

  Once you have all the tools in place- you can test the startup of Antigravity CLI.

  
  
  

  You will need to authenticate with a Google Cloud Project or your Google Account:
  
  

  
  
  
  
  

  CODE Kopieren

  agy
  
  

  
  
  
  
  
  
  
  

  This will start the interface:

  
  
  
  
  

  
  
  
  What is MCP?
  

  
  
  

  Unless you have been living off grid without Internet- MCP is the new universal connector and next “Big Thing”.

  
  
  

  More information is here:

  
  
  
  
  

  
  
  
  Isn’t MCP overkill?
  

  
  
  

  There are many ways to call models. Native MCP support in Google Antigravity opens up a new pathway to call the underlying Omni model.

  
  
  

  Google Antigravity utilizes the Model Context Protocol (MCP) as a universal, open-standard “bridge” that allows AI agents to securely interact with external tools, APIs, and data sources. Combined with models like Gemini Nano Banana 2 Lite , this integration allows developers to build rich, agentic workflows natively. [, ]

  
  
  

  
  
  
  Model Context Protocol (MCP) in Antigravity
  

  
  
  

  MCP acts as a standardized communication layer for AI. Instead of needing hard-coded integrations for every data source or platform, MCP allows Antigravity’s AI agents to securely query external environments, ranging from your local files to cloud infrastructure. []

  
  
  
  
  
  • 
    Universal Tool Access: Allows your Gemini powered agent to discover and trigger specific tools (like reading logs, querying databases, or executing scripts) on demand. [, ]
  
  
  
  
  

  
  
  
  Integrating Antigravity with Google Nano Banana 2 Flash Lite
  

  
  
  

  Pairing Antigravity with Nano Banana 2 Lite expands the agent’s core capabilities, allowing it to act on multimodal inputs and execute complex tasks on your behalf. [, ]



• 
  Workspaces: Antigravity 2.0 organizes MCP usage around specific projects, meaning you can configure MCP configurations (via mcp_config.json) per workspace directory. [, , , ]

So what is the Secret Sauce?

The Interactions API allows for a clean consistent call to the model.

The Interactions API is Google’s unified interface for building with Gemini AI models and autonomous agents. Rather than using multiple separate endpoints for text chat, tool use, image generation, or background agents, it provides a single, streamlined API to handle complex, stateful workflows. [,

and here:

Not a fan of Bananas?

> edit image • Saved Image: gen_1782839885_f1ecaeae.jpg

    • Interaction ID: v1_ChdTX3BEYXE2TE9jeWgxTWtQMjdxU3FBNBIXU19wRGFxNkxPY3loMU1rUDI3cVNxQTQ  

change the bananna to an apple!

One last example - the banner for this article was re-themed in steam-punk style:

> use the MCP tool to edit_local_image and retheme @[nano_banana_mcp.jpg] as steam-punk



  Please wait while the image is being rethemed using the Gemini Interactions API. I will update you once it is

  completed.



  I have successfully rethemed the image nano_banana_mcp.jpg to a steam-punk style using the Gemini Interactions API.



  Here are the details of the generated image:



  • Saved Image: edit_local_1782839741_1c2c5bd5.jpg

  • Interaction ID: v1_Chd1X2xEYW8yX01haVVfdU1QMXNXVXNBNBIXdV9sRGFvMl9NYWlVX3VNUDFzV1VzQTQ

One last thought- Where are Agents?

Where are the Agents?

The Antigravity CLI harness itself uses agents to manage the workflow.

The additional touch point for leveraging the MCP interface is that they all are exposed as MCP tools. The MCP tools can be called directly from Agent code or used as a template for Interactions API calls embedded in an Agent.

Summary

The strategy for using MCP with Nano Banana 2 Lite and Antigravity CLI was validated with a incremental step by step approach.

A minimal stdio transport MCP Server was started from Python source code and validated with Antigravity CLI running as a MCP client in the same local environment.

This MCP Python server provided all of the management tools to interact with the model and generate high quality cyberpunk pineapple images.