Workflow Commander MCP Server

A powerful MCP (Model Context Protocol) server that provides dynamic YAML-driven workflow guidance for AI coding agents. Features structured development workflows with progression control and decision points.

What This Does

This server guides AI agents through structured, schema-driven development workflows:

• 📋 Dynamic YAML Workflows: Custom workflows defined in YAML with schema-driven execution
• 🔍 Discovery-First: Automatically discovers and selects appropriate workflows based on task
• ⚡ Real-time State: Live workflow state tracking with comprehensive session management
• 🎯 Mandatory Guidance: Authoritative phase-by-phase instructions agents must follow
• 🤖 Agent-Generated Workflows: Unique capability for agents to create custom YAML workflows on-the-fly

Two Workflow Approaches

Built-in Workflow Discovery Process

1. Automatic Discovery - System scans .workflow-commander/workflows/ for available YAML workflows
2. Intelligent Matching - Analyzes task description against workflow capabilities and goals
3. Workflow Selection - Agent chooses the most appropriate workflow from discovered options
4. Immediate Execution - Selected workflow starts with full state management and progression control

This provides instant access to proven workflows for common development patterns - coding, documentation, debugging, and more!

Agent Workflow Generation Process

1. Analyze Task Requirements - Agent understands specific needs
2. Get Creation Guidance - Comprehensive templates and best practices provided
3. Generate Custom YAML - Agent creates workflow tailored to exact requirements
4. Start Execution - Custom workflow runs with full state management

This enables agents to create workflows for any domain - web development, data science, DevOps, research, documentation, testing, and more!

Quick Start

Installing workflow-commander CLI

The workflow-commander CLI provides easy configuration and management of MCP servers. Install it directly with:

# Download and run the installation script
curl -fsSL https://raw.githubusercontent.com/AndurilCode/workflow-commander/refs/heads/main/install.sh | bash

The installer will:

• ✅ Detect your environment (virtual env, available tools)
• 🌍 Global installation (recommended): Uses pipx for system-wide access
• 📦 Virtual environment: Uses uv or pip if you're in a venv
• 🔧 Auto-setup: Handles dependencies and PATH configuration

CLI Usage

# Configure MCP servers interactively
workflow-commander configure

# Quick setup for specific platforms
workflow-commander configure -p cursor -y
workflow-commander configure -p claude-code -y

# Deploy workflow guidelines to AI assistants
workflow-commander bootstrap-rules              # All assistants
workflow-commander bootstrap-rules cursor       # Cursor only
workflow-commander bootstrap-rules --force all  # Overwrite existing

# List supported platforms and manage servers
workflow-commander list-platforms
workflow-commander list-servers -p cursor
workflow-commander validate -p cursor

# Get help
workflow-commander --help

Manual MCP Configuration

Alternatively, install uv for Python package management and configure your MCP client manually: For Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "workflow-commander": {
      "command": "uvx",
      "args": ["--from", "git+https://github.com/AndurilCode/workflow-commander@main", "dev-workflow-mcp"]
    }
  }
}

Or use the following link to install the MCP server (Cursor Installed):

Getting Help

📚 Documentation

• Complete Documentation - Comprehensive guides and references
• Installation Prerequisites - Detailed setup requirements

🎯 Examples

• Workflow Examples - Ready-to-use workflow YAML files
• Configuration Examples - MCP client setup examples

License

This project is licensed under the MIT License - see the LICENSE file for details.