Provides data visualization capabilities for project analytics through Chart.js integration, displaying task activity charts and priority distribution graphs
Supports data migration and integration with GitHub Issues for importing existing project data and synchronizing development workflows
Provides data migration capabilities from Jira projects, allowing import of existing issues, workflows, and project structures
Offers integration capabilities for migrating project data and documentation from Notion workspaces
Utilizes SQLite as the primary database backend for storing and managing PRDs, tasks, plans, and documents with full-text search capabilities
Powers the web dashboard interface built with SvelteKit, providing real-time project management UI with Kanban boards and interactive visualizations
Supports data migration from Trello boards, enabling import of existing cards, lists, and board structures into the project management system
🚀 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:
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:
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:
Folder Structure Guide - Standalone workflow system
Practical Examples - Start directly from
docs/api/folder
🚀 Quick Start
1. Installation & Setup
2. Verify Setup
Claude Code: MCP server connection - check with
/mcpcommandWeb Dashboard: http://localhost:3301
Database:
data/workflow.dbauto-created
3. First Usage
🌐 Web Dashboard
📋 Management Pages
Projects (
/projects) - Project overview and managementPRD Management (
/prds) - Requirements document card viewTask Management (
/tasks) - Kanban board workflowPlan Management (
/plans) - Progress tracking systemOperations Management (
/operations) - Incident management and detailsEnvironment Management (
/environments) - Environment creation and statusDeployment Management (
/deployments) - Deployment planning and execution
🔧 Creation Pages
New PRD (
/prds/new) - Requirements/acceptance criteria managementNew Task (
/tasks/new) - Plan connection and previewNew Plan (
/plans/new) - Schedule and progress setupNew Environment (
/environments/new) - Dev/staging/production environment setupNew 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.
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
Enables complete product development lifecycle management through 26 MCP tools for PRD, task, and plan management with dependency tracking, workflow automation, and real-time project dashboards. Supports multi-session usage with transaction safety and intelligent workflow analysis.