gemini-image-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GEMINI_API_KEY | Yes | Your Google Gemini API key |
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
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| generate_imageC | Generates an image based on a prompt and saves it to the specified path. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool 'generate_image' has a clearly distinct and singular purpose, making it impossible for an agent to misselect between non-existent alternatives.
The single tool name 'generate_image' follows a clear verb_noun pattern (generate + image), and with only one tool, there is no inconsistency or deviation to evaluate. The naming is straightforward and predictable.
A single tool is too few for most server purposes, as it limits functionality and flexibility. For an image generation server, one tool feels thin and under-scoped, lacking operations like editing, listing, or deleting images, which could hinder agent workflows.
The tool surface is severely incomplete for an image generation domain. While 'generate_image' covers creation, there are obvious gaps such as no ability to retrieve, update, delete, or manage generated images, leading to potential dead ends in agent tasks.