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Glama
Nano-Banana MCP Server

Nano-Banana MCP Server

by fjacquet

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GEMINI_API_KEYYesYour Gemini API key from Google AI Studio.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
configure_gemini_tokenB

Configure your Gemini API token for nano-banana image generation

generate_imageA

Generate a NEW image from text prompt. Use this ONLY when creating a completely new image, not when modifying an existing one.

edit_imageB

Edit a SPECIFIC existing image file, optionally using additional reference images. Use this when you have the exact file path of an image to modify.

get_configuration_statusB

Check if Gemini API token is configured

continue_editingA

Continue editing the LAST image that was generated or edited in this session, optionally using additional reference images. Use this for iterative improvements.

get_last_image_infoB

Get information about the last generated/edited image in this session.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 6 tools

Disambiguation5/5

The three image actions are clearly separated by their inputs: generate_image creates new content, edit_image targets an exact file path, and continue_editing operates on the last session image. The descriptions reinforce these boundaries with explicit 'use this ONLY when' guidance, and the config check vs. config set tools are obviously distinct.

Naming Consistency5/5

All six tools follow a consistent snake_case verb_noun pattern (get_configuration_status, configure_gemini_token, generate_image, edit_image, continue_editing, get_last_image_info). No mixed conventions or vague one-word names.

Tool Count5/5

Six tools is well-scoped for an image generation/editing server: two for authentication, one for session state inspection, and three for the actual generation workflows. Each tool has a clear, non-redundant role.

Completeness4/5

The core lifecycle is covered: configure token, verify status, generate, edit by path, iterate on the last image, and inspect last image metadata. Minor gaps exist, such as listing prior images or clearing/resetting session state, but these are workarounds agents can manage.

Maintenance

ActivityMaintained
ResponsivenessNo recent community issues