🚀 WorkflowMCP - AI-Integrated Project Management Platform
AI-Integrated DevOps Platform - Complete Software Development Lifecycle (SDLC) Management
💡 Need Multi-Agent AI Collaboration? Use Claude Swarm alongside WorkflowMCP for real multi-agent orchestration!
🎯 Core Features
| Feature | Tools | Description |
|---|---|---|
| 📊 Project Management | 6 tools | Project creation, analytics, progress tracking |
| 📋 Requirements Management | 5 tools | PRD creation, requirements tracking |
| 🎨 Design Management | 5 tools | System design, architecture documentation |
| ✅ Task Management | 8 tools | Task creation, dependencies, progress tracking |
| 🧪 Testing Management | 9 tools | Test cases, execution, results management |
| 📝 Document Management | 10 tools | Unified document storage, search, linking |
| 🚀 DevOps Operations | 12 tools | Incident, environment, deployment management |
Total: 55+ MCP Tools + SvelteKit Web Dashboard
🎯 Three Usage Options
WorkflowMCP supports three different usage patterns. Choose what fits your needs:
🤖 1. MCP Tools (AI Integration)
Best for: Claude Code users, AI-driven automation Benefits: AI-native integration, automation, real-time processing Usage:
npm start # Start MCP server
# Use MCP tools in Claude Code
- MCP Tools Guide - Complete guide for 55+ MCP tools
🌐 2. Dashboard API (Web Interface)
Best for: Team collaboration, visual management, browser-based workflows Benefits: Web UI, team collaboration, visualization, real-time sync Usage:
npm start # Start MCP server (background)
cd dashboard && npm run dev # Start web dashboard
# Visit http://localhost:3301
- Dashboard API Guide - Complete web interface guide
📁 3. Folder Structure (Standalone)
Best for: Individual projects, complete independence, offline work Benefits: No external dependencies, Git version control, offline capable Usage:
# Copy folder structure for use (no server needed)
- Folder Structure Guide - Standalone workflow system
- Practical Examples - Start directly from
docs/api/folder
🚀 Quick Start
1. Installation & Setup
# Install dependencies
npm install
# Start MCP server (Claude Code integration)
npm start
# Start web dashboard (separate terminal)
cd dashboard && npm install && npm run dev
2. Verify Setup
- Claude Code: MCP server connection - check with
/mcpcommand - Web Dashboard: http://localhost:3301
- Database:
data/workflow.dbauto-created
3. First Usage
// Execute in Claude Code
create_project({
"name": "My First Project",
"description": "WorkflowMCP test project"
})
get_project_dashboard() // Check dashboard
🌐 Web Dashboard
📋 Management Pages
- Projects (
/projects) - Project overview and management - PRD Management (
/prds) - Requirements document card view - Task Management (
/tasks) - Kanban board workflow - Plan Management (
/plans) - Progress tracking system - Operations Management (
/operations) - Incident management and details - Environment Management (
/environments) - Environment creation and status - Deployment Management (
/deployments) - Deployment planning and execution
🔧 Creation Pages
- New PRD (
/prds/new) - Requirements/acceptance criteria management - New Task (
/tasks/new) - Plan connection and preview - New Plan (
/plans/new) - Schedule and progress setup - New Environment (
/environments/new) - Dev/staging/production environment setup - New Deployment (
/deployments/create) - Deployment strategy and scheduling
🔧 Tech Stack
- Backend: Node.js 18+, SQLite, MCP SDK
- Frontend: SvelteKit, Chart.js, D3.js
- AI Integration: Claude Code MCP Tools
- Database: SQLite (ACID transactions, FTS search)
📚 Documentation
🚀 Quick Start
- Installation & Setup - Environment setup and getting started
- Quick Test - Basic verification after installation
📖 User Guides
- Complete User Guide - Detailed usage for all MCP tools
- Dashboard API Guide - Complete web interface guide
- Folder Structure Guide - Standalone workflow system
- DevOps Operations - Incident, environment, deployment management
- Documentation Index - Complete documentation structure
🛠️ Developer Guides
- MCP Server Troubleshooting - Server issue resolution
- Development Progress - Project status
- Testing Guide - Complete system testing
🌍 Language Support
- English: README.md (this file)
- 한국어: README_KR.md - Korean documentation
📄 License
MIT License - Feel free to use!
WorkflowMCP v3.0.0 - AI-Powered DevOps Integration Platform For more details, check the Documentation Index.