MCP Agentic Workflow Visualization

@chrisrafuse

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基本情報

カテゴリ

推論

トランスポート

stdio

作者

chrisrafuse

MCP Agentic Workflow Visualization について

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

#3d-visualization #mcp #document-processing

MCP Agentic Workflow Visualization の設定

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概要

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

よくある質問

What agent types are included?

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

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.

How does data flow through the pipeline?

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

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.

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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