Element Plus MCP
Element Plus component generation service, supporting the use of the MCP protocol to call multiple large models to generate Vue components and providing a preview function
rating : 2 points
downloads : 14
What is the Element Plus MCP Server?
The Element Plus MCP Server is an interactive tool based on large language models (LLM), designed to help developers quickly generate UI components based on the Element Plus framework. Whether it's a simple button or a complex table, just provide a description, and the server can generate the corresponding Vue code.How to use the Element Plus MCP Server?
You can send requests through the HTTP API to generate components. For example, after describing the functionality of the component you need, the server will return the corresponding code snippet. In addition, it supports multiple large models and can adjust the generation style according to your needs.Applicable scenarios
Suitable for developers who need to quickly build UI components, especially those who want to reduce manual coding time. For example, it can be used to generate common components such as forms, tables, and pop - ups.Main features
Intelligent component generationGenerate corresponding Vue component code through natural language description.
Multi - model supportSupports multiple large models (such as DeepSeek, OpenAI, Anthropic, etc.) to meet different style requirements.
Caching and optimizationReduce redundant calculations through the caching mechanism and improve efficiency.
Independent preview serviceProvide an independent code preview service, allowing you to view the effect without leaving the platform.
Advantages and limitations
Advantages
Significantly reduce the coding workload of developers.
Support multiple large models to meet personalized needs.
The efficient caching mechanism reduces unnecessary computational overhead.
The built - in code preview function facilitates real - time testing of component effects.
Limitations
Support for complex components may be limited and requires further refinement of the description.
It depends on external large - model APIs, which may incur additional costs.
The quality of the generated results is greatly affected by the input description.
How to use
Install and start the server
Ensure that the Node.js environment is installed, and run npm install and npm start to start the service.
Send a generation request
Send your component description through an HTTP POST request.
View the generated results
The server will return the generated Vue component code.
Usage examples
Create a table component with search functionThe user wants to create a table component with a search function through description.
Configure different large modelsThe user wants to use different large models to generate components.
Frequently Asked Questions
How to change the default large model?
What if the generated results are inaccurate?
Does it support other frameworks?
Related resources
Element Plus official documentation
The official documentation of Element Plus to learn more about this framework.
GitHub repository
Visit the GitHub repository to get more examples and source code.
MCP protocol details
Learn in - depth about the working principle of the MCP protocol.
Featured MCP Services

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
155
4.5 points

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
104
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
841
4.3 points

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

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#
577
5 points

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
6.7K
4.5 points

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
762
4.8 points

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
293
4.5 points