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Glama
Ichigo3766

Image Generation MCP Server

by Ichigo3766

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
SD_AUTH_PASSNoPassword for basic auth (if enabled)
SD_AUTH_USERNoUsername for basic auth (if enabled)
SD_WEBUI_URLYesURL of your Stable Diffusion WebUI instance
SD_OUTPUT_DIRYesDirectory where generated images will be saved
SD_UPSCALER_1NoDefault primary upscaler modelR-ESRGAN 4x+
SD_UPSCALER_2NoDefault secondary upscaler modelNone
SD_RESIZE_MODENoDefault upscaling mode (0 for multiplier, 1 for dimensions)0
SD_UPSCALE_WIDTHNoDefault target width when resize_mode is 1512
SD_UPSCALE_HEIGHTNoDefault target height when resize_mode is 1512
SD_UPSCALE_MULTIPLIERNoDefault upscale multiplier when resize_mode is 04

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

NameDescription
generate_imageC

Generate an image using Stable Diffusion

get_sd_modelsB

Get list of available Stable Diffusion models

set_sd_modelB

Set the active Stable Diffusion model

get_sd_upscalersB

Get list of available upscaler models

upscale_imagesC

Upscale one or more images using Stable Diffusion

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 5 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: generate_image creates images, get_sd_models and get_sd_upscalers retrieve lists, set_sd_model configures the active model, and upscale_images enhances existing images. The descriptions make it impossible to confuse these tools.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern with snake_case (e.g., generate_image, get_sd_models, set_sd_model). The naming is predictable and readable throughout the set.

Tool Count5/5

With 5 tools, this is well-scoped for an image generation server, covering core workflows like generation, model management, and upscaling. Each tool earns its place without bloat or thin coverage.

Completeness4/5

The toolset covers key operations for image generation and enhancement, including model selection and upscaling. A minor gap exists in lacking tools for deleting or managing generated images, but agents can work around this for most use cases.

Maintenance

ActivityInactive
ResponsivenessUnresponsive