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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
GEMINI_API_KEYYesYour Google Gemini API key (from Google AI Studio), used to connect Claude to Nano Banana (Google's gemini-2.5-flash-image AI model).

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
generate_imageC

Generate an image using the Nano Banana (gemini-2.5-flash-image) model.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only a single tool in the set, there is no possibility of confusion or misselection. The tool's purpose (image generation via a specific model) is unmistakable.

Naming Consistency5/5

The lone tool follows a clear verb_noun snake_case convention (generate_image). There is nothing to be inconsistent with, so the naming is fully predictable.

Tool Count3/5

One tool is a thin surface even for a focused image-generation wrapper; common needs like editing, variation, or configuration are not expressible. It is borderline rather than mismatched, since the server targets a single model.

Completeness3/5

Generation is covered, but an image-model server typically also supports editing/inpainting, variations, or parameter control (size, count, seed), none of which exist here. Agents can work with the single entry point but will hit dead ends for anything beyond plain generation.

Maintenance

ActivityMaintained
ResponsivenessNo issues