Explore MCP Sampling Protocol with LangGraph4j: langraph4j-plantuml-mcp Tool

Langraph4j Plantuml MCP

An experimental project exploring the combination of the MCP sampling protocol and LangGraph4j

Developer tools Artificial intelligence chatbots #MCP Protocol #LangGraph4j #Experimental Project #Sampling Protocol .Java

rating : 2 points

downloads : 5.9K

update time : 2025-12-03

Open Site

What is the LangGraph4j PlantUML MCP Server?

This is an experimental MCP (Model Context Protocol) server that integrates LangGraph4j (a Java library for building AI workflows) with PlantUML (a text-to-diagram tool). Through this server, you can use natural language instructions to generate and visualize complex AI workflow diagrams, state machine diagrams, and sequence diagrams without manually writing code or drawing diagrams.

How to use the LangGraph4j PlantUML MCP Server?

You can use this server through an AI assistant that supports the MCP protocol (such as Claude Desktop). After installing and configuring the server, you can directly describe the type of diagram you want to create (such as state machine, workflow, sequence diagram) to the AI assistant. The AI assistant will call the server to generate the corresponding PlantUML code and render it as a visual diagram.

Applicable Scenarios

This tool is particularly suitable for the following scenarios: 1. AI application developers need to visualize complex workflows. 2. System architects need to quickly draw state machine diagrams. 3. Teams need to share and discuss system designs during collaboration. 4. Teaching and demonstrations require intuitive display of AI decision - making processes. 5. Technical documents need to embed professional technical diagrams.

Main Features

AI-driven Diagram Generation

Generate professional PlantUML diagram code through natural language descriptions without manually writing complex diagram syntax.

Support for Multiple Diagram Types

Supports multiple PlantUML diagram types such as state machine diagrams, sequence diagrams, workflow diagrams, and class diagrams.

LangGraph4j Integration

Deeply integrated with LangGraph4j, it can visualize complex AI agent workflows and decision - making processes.

Real-time Preview and Editing

The generated diagrams can be previewed in real - time and support further editing and adjustment.

MCP Protocol Compatibility

Fully compatible with the Model Context Protocol and can be seamlessly integrated with various AI assistants that support MCP.

Advantages

Create professional diagrams through natural language without learning complex PlantUML syntax

Significantly improve the efficiency of technical documentation and system design

Deeply integrated with AI assistants to achieve a conversational diagram - creation experience

Support multiple diagram types to meet different visualization needs

Open - source and extensible, allowing customization of functions as needed

Limitations

Currently in the experimental stage, and the functions may not be stable enough

Requires configuration of the MCP environment, which poses a certain threshold for non - technical users

Complex diagrams may require multiple adjustments to the prompt to achieve the desired effect

Relies on an external PlantUML rendering service or local installation

Mainly for technical diagrams and not suitable for creating artistic or marketing - type diagrams

How to Use

Environment Preparation

Ensure that you have installed an AI assistant that supports the MCP protocol (such as Claude Desktop) and configured the Java runtime environment.

Server Configuration

Add the LangGraph4j PlantUML MCP server to your MCP configuration file.

Start the AI Assistant

Start your AI assistant application and ensure that the MCP server is successfully connected.

Start Creating Diagrams

Describe the diagram you want to create to the AI assistant through natural language, for example: "Please help me create a state machine diagram for the user login process."

View and Adjust Results

View the generated diagram. If you are not satisfied, you can ask the AI assistant to make adjustments or optimizations.

Usage Examples

E - commerce Order Status Management

Create an order state machine diagram for an e - commerce system to clearly show the complete lifecycle of an order from creation to completion or cancellation.

User Registration Verification Process

Create a workflow diagram for the user registration process to show the complete verification process from the user submitting information to successful registration.

Microservice API Call Sequence

Create a sequence diagram for a microservice architecture to show the transmission and processing process of user requests among multiple services.

AI Customer Service Dialogue Process

Use LangGraph4j integration to create a state machine diagram for an AI customer service dialogue, showing the dialogue states and intent - recognition process.