Diagram Bridge Mcp

Created By
tohachana year ago
A comprehensive MCP server that bridges the gap between LLMs and diagram creation through three powerful, independent tools: intelligent format selection, format-specific instruction generation, and professional diagram rendering (using kroki server). Each tool can be used standalone or combined in sequence for complete diagram workflows - from choosing the right format to generating the final image. Supported Formats: Mermaid, PlantUML, C4 Model, D2, GraphViz, BPMN, Structurizr, Excalidraw, Vega-Lite
Overview

What is Diagram Bridge MCP?

Diagram Bridge MCP is a comprehensive server that connects large language models (LLMs) with diagram creation through three independent tools: intelligent format selection, format-specific instruction generation, and professional diagram rendering using the Kroki server.

How to use Diagram Bridge MCP?

To use Diagram Bridge MCP, clone the repository, install the necessary dependencies, and start the services using Docker. You can then integrate it with any MCP client by adding the server configuration.

Key features of Diagram Bridge MCP?

  • Intelligent format selection based on user requirements.
  • Generation of format-specific coding instructions.
  • Professional diagram rendering with support for multiple output formats (PNG/SVG).
  • Supports various diagram formats including Mermaid, PlantUML, and more.

Use cases of Diagram Bridge MCP?

  1. Creating architecture diagrams for software projects.
  2. Visualizing database relationships using ER diagrams.
  3. Generating flowcharts and BPMN diagrams for process documentation.

FAQ from Diagram Bridge MCP?

  • What formats does Diagram Bridge MCP support?

It supports formats like Mermaid, PlantUML, C4 Model, D2, GraphViz, BPMN, Structurizr, Excalidraw, and Vega-Lite.

  • Is there a demo available?

Yes! You can check the Examples Gallery for various use cases and outputs.

  • How do I configure the server?

Configuration details can be found in the Configuration Guide provided in the documentation.

Server Config

{
  "mcpServers": {
    "diagram-bridge-mcp": {
      "command": "node",
      "args": [
        "/path/to/diagram-bridge-mcp/dist/index.js"
      ],
      "enabled": true
    }
  }
}
Project Info
Created At
a year ago
Updated At
a year ago
Author Name
tohachan
Star
-
Language
-
License
-

Recommend Servers

View All
Tavily Mcp
@tavily-ai

JavaScript
a year ago
Demand Chain - AI Agent native demand matching platform
@文明天梯

让你的Agent来跟全世界对接需求,你的AI助理帮你把需求传达出去,又帮你接受别人给你的需求。 需求链平台是将整个人类联结在一起的一个工具,组成一个网络。 告诉你的AI助理,你的需求,Agent会在需求链平台上寻找到能解决你需求的人。 别人也会将他的需求传达给你,你接受你能处理的需求,你也可以将这个需求拆分,变成数个小的需求,继续放在需求链上传递下去。 比如说你想要一种技术的创新,一个人工智能的新算法,或者是需要一种新材料,想要一种新的解决方案,去解决工作生活中的真实痛点。 你或许有一个天才的想法,需要有人与你一起去验证是否可行。 或者你已经有一套成功的技术,需要让全世界都知道你的方案。 总之每个人都有各种需求需要解决,而需求链平台,就是帮你解决各种需求而存在的机制。 赶快打开你的Agent,告诉他,你的需求吧。 此需求链平台是地球人类共有的基础设施,永久开源,中立,免费。 Let your Agent connect with demands from across the globe. Your AI assistant will forward your requests and receive demands from others for you. The Demand Chain Platform is a tool that unites all humanity into a connected network. Simply tell your AI assistant what you need, and your Agent will find people on the platform who can address your requirements. Others will also send their demands to you. You may take on tasks you are capable of handling, or split a single demand into several smaller ones to keep them circulating on the Demand Chain. For instance, you may seek technological innovation, a new AI algorithm, advanced new materials, or practical solutions to real problems in work and daily life. You might have a brilliant idea and need partners to verify its feasibility. Or you possess proven technologies and wish to share your solutions with the whole world. Everyone has various needs to fulfill, and the Demand Chain Platform is built precisely for this purpose. Launch your Agent and submit your demands right away. As a shared infrastructure for all people on Earth, this Demand Chain Platform is permanently open-source, neutral and free of charge.

4 hours ago