Stable Diffusion WebUI
S

Stable Diffusion WebUI

A text-to-image MCP server based on the Stable Diffusion WebUI API
2.5 points
10.1K

What is the Image Generation MCP Server?

This is an intermediate service that connects to the Stable Diffusion AI image generation engine, allowing users to generate and enhance images through simple API calls. It encapsulates complex underlying operations and provides standardized interfaces.

How to use this service?

You need to set up the Stable Diffusion WebUI environment first, and then configure this server through the MCP protocol to start using the image generation function.

Applicable scenarios

Suitable for application scenarios that require batch generation of AI images, such as content creation, game development, advertising design, and other fields that need automated image generation.

Main Features

Text-to-Image Generation
Generate high-quality images based on text descriptions (prompts), supporting adjustment of size, style, and detail parameters.
Model Management
Support switching between different Stable Diffusion models to meet different generation requirements.
Image Super-Resolution
Use an AI model to improve image resolution, up to 4 times magnification without loss of quality.
Batch Processing
Support generating multiple images at once or batch processing multiple images for enhancement requirements.
Advantages
Simplifies the complex calling process of the Stable Diffusion API
Provides a standardized MCP interface, easy to integrate into existing systems
Supports various image generation and enhancement features
Allows flexible parameter configuration to meet different needs
Limitations
Requires pre-deployment of the Stable Diffusion WebUI environment
High-performance image generation requires strong GPU support
Some advanced features require specific model support

How to Use

Environment Preparation
Ensure that Node.js is installed and an accessible Stable Diffusion WebUI service is available (API needs to be enabled).
Install Dependencies
Install all Node.js dependency packages required by the project.
Build the Server
Compile TypeScript code into executable JavaScript.
Configure the Server
Add server settings to the MCP configuration file, specifying parameters such as the WebUI address and output directory.

Usage Examples

Generate Concept Art
Generate character concept art for game design
Improve Product Image Quality
Enlarge and enhance the details of low-resolution product images

Frequently Asked Questions

Why does image generation fail?
How to improve the generation speed?
Which image formats are supported?

Related Resources

Stable Diffusion WebUI Documentation
Official WebUI project documentation
MCP Protocol Specification
Official documentation of the Model Context Protocol
Example Project Repository
Source code of this project

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.8K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
8.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
7.5K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.6K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
7.7K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.3K
4.5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.7K
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
32.3K
5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
27.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase