S

Scenario Ai MCP Server

This project is an MCP server based on the Scenario.com platform, providing text - to - image generation and image background removal functions, including a complete development environment configuration, sample code, and test scripts.
2 points
16

What is Scenario.com MCP Server?

This is an AI service interface based on the Scenario.com platform, providing two core functions: 1) Generate high - quality images based on text descriptions. 2) Automatically remove the background of pictures. The service adopts the Model Context Protocol (MCP) standard, which is convenient for integration with other systems.

How to use Scenario.com MCP Server?

Just follow three simple steps: 1) Install the necessary software environment. 2) Configure the API key. 3) Send text instructions or pictures to get the processing results. There is no need to write complex code, and you can quickly get started through sample scripts.

Applicable scenarios

It is particularly suitable for scenarios that require rapid visualization of creativity, such as e - commerce product image generation, social media content creation, game character design, and advertising material production. Designers, marketers, and content creators can all benefit.

Main features

Text - to - imageInput text descriptions to generate high - quality images, supporting adjustment of negative prompt words and the number of generations.
Intelligent background removalAutomatically identify the main body of the picture and remove the background, retaining the transparent channel.
Task trackingQuery the status and results of image generation or processing tasks in real - time.

Advantages and limitations

Advantages
Create high - quality visual content without professional design skills.
Fast processing speed, usually completing complex tasks within a few minutes.
Provide complete APIs and sample code for easy integration.
Limitations
An effective Scenario.com API key is required.
Complex prompt words may need to be adjusted multiple times to obtain ideal results.
Free accounts have a limit on the number of calls.

How to use

Environment preparation
Install Python 3.8+ and create a virtual environment.
Install dependencies
Install the necessary software packages.
Configure the key
Create a.env file in the project root directory and fill in your API key.
Start the service
Run the server to start receiving requests.

Usage examples

E - commerce product image generationCreate display images for new products without actual shooting.
Social media material productionQuickly generate social media pictures with festival themes.
ID photo background processingConvert casually taken photos into professional ID photos.

Frequently Asked Questions

How to get an API key?
How long does it take to generate an image?
What picture formats are supported?
What should I do if I encounter the 'Invalid API Key' error?

Related resources

Scenario.com official documentation
Complete API reference and development guide.
GitHub repository
Project source code and issue tracking.
Sample project set
Practical cases for various application scenarios.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
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
1.7K
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
823
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
79
4.3 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
130
4.5 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#
554
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
6.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 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
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase