UBOS Asset Marketplace: Unleashing the Power of Visual Workflows with Mermaid-MCP

In today’s fast-paced digital landscape, clear communication and efficient workflow visualization are paramount. The UBOS Asset Marketplace introduces a game-changing solution: the Mermaid-MCP server. This innovative tool empowers users to effortlessly transform textual descriptions into visually appealing and informative Mermaid diagrams.

What is Mermaid-MCP?

Mermaid-MCP is a Model Context Protocol (MCP) server designed to generate beautiful Mermaid flowcharts. It acts as a bridge between AI clients (like Claude and Cursor) and the world of visual diagramming. Instead of wrestling with complex diagramming tools, users can simply provide textual input – be it a description of a process, Mermaid code snippets, structured text, or even mind map outlines – and the server will intelligently convert it into a high-quality flowchart PNG image.

This server is especially powerful for those who need to quickly visualize complex processes, system architectures, or data flows. The use of LLM allows the server to understand the user request, eliminating the need for manual conversion to Mermaid code.

Use Cases: Visualize Everything

Mermaid-MCP unlocks a multitude of use cases across various industries and roles:

• Software Development: Visualize software architectures, data flows, and deployment pipelines. Developers can use natural language to describe the system, and the server will automatically generate a clear and concise diagram.
• Business Process Modeling: Map out business processes, identify bottlenecks, and optimize workflows. Illustrate customer journeys, sales funnels, and operational procedures.
• Project Management: Create Gantt charts, task dependencies, and project timelines. Visualize project scope and track progress.
• System Administration: Diagram network topologies, server configurations, and security architectures. Document infrastructure and troubleshoot issues.
• Education: Explain complex concepts, illustrate algorithms, and visualize data structures. Teachers and students can benefit from the clear and concise diagrams generated by the server.
• Technical Writing: Enhance documentation with clear and concise diagrams. Improve readability and understanding of complex topics.
• AI Agent Development: Visualize the workflow of your AI Agents and their interactions with external tools and data.

Specific Examples:

• Customer Support: An AI agent in customer support can generate a diagram of the steps taken to resolve a customer’s issue, providing a visual record of the interaction.
• Data Analysis: An AI agent can diagram the flow of data through a system, highlighting key data points and transformations.
• Security Incident Response: Quickly visualize the steps taken during a security incident response, showing the sequence of events and the actions taken.

Key Features: Power and Flexibility

Mermaid-MCP boasts a rich set of features designed to cater to diverse user needs:

• Text-to-Diagram Conversion: Effortlessly convert textual descriptions into visual diagrams. The core functionality leverages a Large Language Model (LLM) to understand the user’s intent and generate the appropriate Mermaid code or HTML directly.
• Direct HTML Visualization: Generates stunning HTML visual charts directly, bypassing intermediate Mermaid conversion steps, streamlining the process and improving efficiency.
• Multiple Diagram Types: Supports a wide range of diagram types, including flowcharts, sequence diagrams, class diagrams, state diagrams, entity relationship diagrams, Gantt charts, pie charts, and user journey maps.
• High-Quality PNG Export: Exports generated diagrams as high-resolution PNG images for easy sharing and integration into documents and presentations.
• MCP Compliance: Seamlessly integrates with any MCP-compliant client, such as Claude Desktop and Cursor. This allows for easy connection and communication with AI models.
• LLM-Powered Understanding: Leverages LLMs to directly interpret user requirements and generate diagrams, eliminating the need for manual coding.
• Customizable CSS Templates: Offers a variety of CSS templates to customize diagram appearance, allowing users to tailor the visual style to their brand or preferences. Users can also provide their own custom CSS.
• Flexible Input Formats: Accepts various input formats, including natural language descriptions, Mermaid code, structured text, and mind map outlines.
• Template Selection: Allows users to specify a CSS template for styling the diagram. Pre-defined templates include default, dark, minimalist, and business styles.
• Custom CSS: Supports user-provided CSS to override default styling.
• Diagram Sizing: Enables users to adjust the width and height of the generated diagram.
• Color Schemes: Offers pre-defined color combinations for visual consistency.
• Export Settings: Provides options to adjust PNG resolution and quality.

How It Works: A Seamless Process

The Mermaid-MCP server operates through a streamlined process:

1. User Input: The user provides a textual description of the desired diagram, existing Mermaid code, or structured text to an MCP-compatible client.
2. MCP Client Communication: The MCP client sends the user’s input to the Mermaid-MCP server.
3. LLM Processing: The server’s LLM interprets the user’s request and generates the necessary HTML and CSS code.
4. HTML Rendering: The server renders the HTML code to create a visual diagram.
5. PNG Export: The server exports the diagram as a high-quality PNG image.
6. Result Return: The server sends the PNG image back to the MCP client, which displays the result to the user.

Installation and Setup: Get Started in Minutes

Setting up the Mermaid-MCP server is a straightforward process:

Prerequisites:

• Python 3.8+
• pip
• MCP-compatible client (e.g., Claude Desktop, Cursor)

Installation Steps:

bash

Clone the repository

git clone https://github.com/yourusername/mermaid-mcp.git cd mermaid-mcp

Create a virtual environment (optional but recommended)

python -m venv venv source venv/bin/activate # Linux/macOS

Or

venvScriptsactivate # Windows

Install dependencies

pip install -r requirements.txt

Start the server

python src/server.py

How to Use: Simple and Intuitive

Using the Mermaid-MCP server is simple:

1. Connect your MCP client: Add a new server in your MCP client settings, pointing to http://localhost:5000 (or your configured port).
2. Generate Diagrams: Provide textual descriptions, Mermaid code, or structured text to the client.

Examples:

• Describing Requirements:

  Generate a flowchart showing the user registration process, including registration, email verification, profile completion, and account activation.

• Providing Mermaid Code:

  Generate a PNG of this flowchart: graph TD A[Start] --> B[Step 1] B --> C[Step 2] C --> D[End]

• Providing Structured Text:

  Process the following structured text and create a flowchart:

  1. User submits application
  2. System review 2.1 Automated check 2.2 Manual review
  3. Send results notification

Styling with CSS Templates: Customize Your Diagrams

Users can select a CSS template by including a template parameter in their request:

Use the “dark” template to generate a system architecture diagram with three main components: frontend, backend, and database.

Alternatively, users can provide custom CSS:

Use the following CSS to generate a flowchart: .node { border-radius: 15px; background: linear-gradient(145deg, #3498db, #2980b9); color: white; font-weight: bold; } .edge { stroke: #e74c3c; stroke-width: 2px; }

Supported Diagram Types: Versatility at Your Fingertips

Mermaid-MCP supports a wide array of diagram types, including:

• Flowcharts
• Sequence Diagrams
• Class Diagrams
• State Diagrams
• Entity Relationship Diagrams
• Gantt Charts
• Pie Charts
• User Journey Maps

Customization Options: Tailor Your Experience

The server offers several customization options:

• CSS Templates: Choose from preset templates (default, dark, minimalist, business, etc.).
• Custom CSS: Override default styles with your own CSS.
• Diagram Size: Adjust the width and height of the generated diagram.
• Color Schemes: Select from predefined color combinations.
• Export Settings: Adjust PNG resolution and quality.

Technical Architecture: Built for Performance

Mermaid-MCP is built on a robust foundation:

• Python: The primary development language.
• Model Context Protocol (MCP): An open protocol for communication with AI clients.
• Flask/FastAPI: A web server framework.
• LLM: For understanding user needs and generating HTML/CSS.
• Selenium/Playwright: For HTML-to-PNG conversion.
• Jinja2: A template engine for HTML generation.

UBOS: Your Full-Stack AI Agent Development Platform

Mermaid-MCP seamlessly integrates with the UBOS platform, a comprehensive AI agent development environment. UBOS empowers businesses to orchestrate AI agents, connect them with enterprise data, build custom AI agents with your LLM model and Multi-Agent Systems.

Benefits of using UBOS:

• Centralized AI Agent Management: Manage and monitor all your AI agents from a single dashboard.
• Seamless Data Integration: Connect AI agents to your existing data sources, including databases, APIs, and cloud storage.
• Customizable AI Agent Development: Build custom AI agents tailored to your specific business needs.
• Multi-Agent System Orchestration: Create complex workflows involving multiple AI agents.
• Enhanced Security and Compliance: Ensure the security and compliance of your AI agents with built-in security features.

By leveraging the UBOS platform, you can unlock the full potential of AI agents and transform your business operations.

Conclusion: Visualize the Future with Mermaid-MCP

The Mermaid-MCP server is a powerful tool for anyone who needs to quickly and easily visualize complex information. Its ability to convert textual descriptions into visually appealing diagrams makes it an invaluable asset for software developers, business analysts, project managers, and anyone else who needs to communicate complex ideas clearly and concisely. Combined with the UBOS platform, it offers an unparalleled solution for AI agent development and workflow visualization.