Summary

mcp-mermaid is a tool that leverages AI (MCP) to dynamically generate Mermaid diagrams and charts. It targets developers and AI agents seeking an automated way to create visual representations from textual descriptions, offering rich styling and multiple export options. The primary benefit is simplifying complex diagramming tasks through intelligent automation.

How It Works

The project acts as a server or CLI tool that interfaces with large AI models to interpret natural language prompts and translate them into valid Mermaid syntax. It supports full Mermaid feature coverage, allowing for dynamic configuration of themes and backgrounds. The system includes validation to ensure correct Mermaid output, facilitating multi-round AI interactions. Outputs can be exported as base64, SVG, Mermaid code, or directly as PNG files, making it suitable for AI agents that require file-based outputs.

Quick Start & Requirements

Installation can be done globally via npm install -g mcp-mermaid or integrated into desktop AI applications using provided MCP server configurations. Running the server requires Node.js and npm. Users can choose between SSE (Server-Sent Events) or Streamable HTTP transport protocols, with default ports and endpoints specified. Local development involves cloning the repository, installing dependencies with npm install, and building the project.

Highlighted Details

• AI-powered generation of Mermaid diagrams and charts from natural language.
• Comprehensive support for all Mermaid features, including customizable themes and backgrounds.
• Flexible output options: base64, SVG, Mermaid code, and automatic PNG file saving for AI agents.
• Built-in Mermaid syntax validation for improved AI output accuracy.
• Multiple transport protocols (SSE, Streamable HTTP, STIDO) for diverse integration scenarios.

Maintenance & Community

No specific details regarding maintainers, community channels (like Discord or Slack), or project roadmap were provided in the README.

Licensing & Compatibility

The project is released under the MIT License, which permits broad use, including commercial applications, with minimal restrictions.

Limitations & Caveats

The quality and accuracy of generated diagrams are dependent on the underlying AI model's capabilities. Setup requires familiarity with Node.js and npm. Specific details on performance benchmarks or advanced configuration options beyond basic theme/background are not elaborated upon in the provided text.