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Glama
nickbaumann98

EverArt Forge MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
EVERART_API_KEYYesYour EverArt API key for accessing their AI models

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 images using EverArt Models, optimized for web development. Supports web project paths, responsive formats, and inline preview. Available models:

  • 5000:FLUX1.1: Standard quality

  • 9000:FLUX1.1-ultra: Ultra high quality

  • 6000:SD3.5: Stable Diffusion 3.5

  • 7000:Recraft-Real: Photorealistic style

  • 8000:Recraft-Vector: Vector art style (SVG format)

list_imagesB

List all stored images

view_imageC

Open a stored image in the default image viewer

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 3 tools

Disambiguation5/5

The three tools have clearly distinct purposes: generate_image creates new images, list_images enumerates stored images, and view_image opens a specific stored image. There is no overlap or ambiguity between these functions, making it easy for an agent to select the correct tool for each task.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case: generate_image, list_images, and view_image. This predictable naming scheme enhances readability and usability, with no deviations or mixed conventions.

Tool Count3/5

With only three tools, the server feels thin for an image generation and management domain. While the tools cover basic operations (create, list, view), more advanced functionality like editing, deleting, or organizing images is missing, which could limit agent workflows in practice.

Completeness2/5

The tool surface is significantly incomplete for an image management server. There are notable gaps: no ability to delete, update, or organize images (e.g., tagging, moving), and no tools for managing the generation process (e.g., canceling jobs, checking status). This will likely cause agent failures when trying to perform common image-related tasks.

Maintenance

ActivityInactive
ResponsivenessNo issues