Ketchup Draw MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| HTTPS_PROXY | No | HTTP proxy URL for accessing overseas services (e.g., http://127.0.0.1:7890). Required in China mainland to access URUSAI! and Ketchup AI services. |
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
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| optimize_promptA | Optimize a simple drawing prompt into a detailed professional prompt using Ketchup AI. |
| generate_imageA | Generate images based on a list of prompts. Each prompt in the list generates one image. |
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 2 tools
The two tools have clearly distinct roles: optimize_prompt refines a prompt, while generate_image produces images from prompts. There is no overlap in functionality.
Both tools follow the same verb_noun pattern: optimize_prompt and generate_image. This is consistent and predictable.
With only two tools, the server feels minimal. While the tools cover a basic prompt-to-image workflow, the count is borderline for a full-featured server.
The core workflow of optimizing a prompt and generating an image is covered. Minor gaps exist, such as no options for adjusting generation parameters, but the essential functionality is present.