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MCP Agentic Workflow Visualization

@chrisrafuse

代码仓库

基本信息

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作者

chrisrafuse

关于 MCP Agentic Workflow Visualization

3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.

#3d-visualization#mcp#document-processing

MCP Agentic Workflow Visualization 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Agentic Workflow Visualization 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Agentic Workflow Visualization?

MCP Agentic Workflow Visualization is a 3D application for demonstrating the Model Context Protocol (MCP) agentic workflow system. It provides an interactive environment to visualize and control multi-agent document processing pipelines in real-time, targeting developers and system architects working with MCP.

How to use MCP Agentic Workflow Visualization?

Run in development using the Vite dev server with Express backend on port 5000. Configure the database via the DATABASE_URL environment variable pointing to a PostgreSQL instance.

Key features of MCP Agentic Workflow Visualization

  • Interactive 3D scene built with React Three Fiber and Three.js
  • Animated particle systems showing data flow between agents
  • Real-time status updates (idle, processing, complete, error) for each agent
  • Six specialized agent types: Coordinator, NLP Processor, Document Analyzer, Summarizer, Knowledge Base, Output Formatter
  • Centralized workflow state with Zustand store and step sequencing
  • Control panel for starting, pausing, and monitoring workflows

Use cases of MCP Agentic Workflow Visualization

  • Demonstrating the MCP agentic workflow pipeline in presentations or training
  • Visually debugging multi-agent document processing workflows
  • Real-time monitoring of agent task distribution and sequencing
  • Educational tool for understanding the Model Context Protocol

常见问题

1

What agent types are included?

Coordinator, NLP Processor, Document Analyzer, Summarizer, Knowledge Base, and Output Formatter, each with distinct geometries and capabilities.

2

What external dependencies does it require?

A Node.js 20 runtime, a PostgreSQL database (Neon recommended), and a modern browser. No other runtime services are needed.

3

How does data flow through the pipeline?

Document Input → Coordinator → NLP Processor → Document Analyzer → Summarizer/Knowledge Base → Output Formatter → Final Result.

4

Is there a production deployment process?

Yes: Vite builds client assets, ESBuild bundles the server into a single ESM file, and static assets are served from `dist/public`. Only `DATABASE_URL` needs to be configured.

5

What 3D and UI libraries are used?

React Three Fiber with @react-three/drei and postprocessing for 3D; Radix UI primitives with custom shadcn/ui components, Tailwind CSS, and Zustand for state.

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