Uml MCP Server
U

Uml MCP Server

UML-MCP-Server is a UML diagram generation tool based on the MCP protocol. It supports generating multiple types of UML diagrams through natural language descriptions or by directly writing PlantUML code, and can be integrated into clients such as Cursor that support MCP.
2.5 points
9.4K

What is UML-MCP-Server?

UML-MCP-Server is an intelligent UML diagram generation tool that can create professional UML diagrams through simple natural language descriptions or by directly writing PlantUML code. It supports multiple UML diagram types and can be used as an MCP server integrated with clients (such as Claude) that support this protocol.

How to use UML-MCP-Server?

You can use it in three ways: 1) Call it as a Python library. 2) Configure it in the Cursor IDE. 3) Directly call it through clients (such as Claude) that support the MCP protocol. No matter which way you choose, you can easily generate UML diagrams and get shareable links and local files.

Applicable scenarios

It is suitable for scenarios that require visual expression of system structure and processes, such as software development design stages, system architecture documentation writing, teaching demonstrations, and technical solution exchanges. It is especially suitable for agile development teams that need to quickly generate and iterate UML diagrams.

Main features

Support for multiple UML diagram types
Supports mainstream UML diagram types such as class diagrams, sequence diagrams, activity diagrams, use case diagrams, state diagrams, component diagrams, deployment diagrams, and object diagrams
Natural language generation
Corresponding UML diagrams can be generated through simple natural language descriptions without mastering professional UML syntax
PlantUML integration
Supports generating diagrams directly using PlantUML code, providing flexible control for professional users
MCP protocol support
Can be seamlessly integrated as an MCP server with clients (such as Claude) that support this protocol
Local save
Automatically saves the generated diagrams to a specified local directory for easy management and version control
Advantages
No professional UML knowledge is required, and diagrams can be generated through natural language
Supports multiple UML diagram types to meet different scenario requirements
Provides two save methods: online links and local files
Can be seamlessly integrated with AI assistants such as Claude
Flexible configuration options allow customizing the output directory
Limitations
Depends on the PlantUML online service and requires an internet connection
Complex diagrams may require precise natural language descriptions
Correct file permissions need to be configured for local saving
Advanced customization functions require knowledge of PlantUML syntax

How to use

Installation
It can be automatically installed through Smithery or manually installed by cloning the repository
Configure Cursor IDE
Modify the Cursor configuration file and add the MCP server configuration
Generate UML diagrams
Use the UML tool in the Cursor chat window or directly input natural language descriptions
View results
Get the PlantUML code, online link, and local file path

Usage examples

Generate a class diagram
Create a class diagram describing the user and order systems
Generate a sequence diagram
Create a sequence diagram for the user login process
Generate an activity diagram
Create an activity diagram for the order processing flow

Frequently Asked Questions

How to solve the problem of being unable to generate UML diagrams?
What if the pictures are not saved locally?
How to generate more complex UML diagrams?
What if the MCP server fails to start?

Related resources

PlantUML official documentation
PlantUML syntax reference documentation
GitHub repository
Project source code repository
MCP protocol introduction
Official introduction to the Model Context Protocol
Installation tutorial video
Video tutorial on installing and configuring UML-MCP-Server

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "UML-MCP-Server": {
            "command": "uv",
            "args": [
                "--directory",
                "/Users/yourpath/UML-MCP-Server",
                "run",
                "uml_mcp_server.py"
            ],
            "output_dir": "/Users/yourpath/uml-output"
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
10.5K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.1K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
14.8K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.7K
4 points
P
Paperbanana
Python
8.9K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
8.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.0K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
8.7K
5 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
39.1K
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
24.8K
4.5 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
28.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.5K
4.3 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#
38.4K
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
69.5K
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
24.9K
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
55.3K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase