Workflow Commander MCP Server
@AndurilCode
An MCP (Model Context Protocol) server that provides structured workflow guidance to guide coding agents through a disciplined development process.
Overview
What is Workflow Commander MCP Server?
Workflow Commander MCP Server is a dynamic YAML-driven workflow guidance tool for AI coding agents, providing structured development workflows with progression control and decision points. It integrates with MCP clients to guide agents through schema-defined processes, supporting both built-in discovery and agent-generated custom workflows.
How to use Workflow Commander MCP Server?
Install via the installer script (curl -fsSL ... | bash) or manually with uv, then configure your MCP client using the workflow-commander CLI (e.g., workflow-commander configure -p cursor) or by adding a JSON configuration (e.g., .cursor/mcp.json). Use commands like bootstrap-rules to deploy workflow guidelines to AI assistants.
Key features of Workflow Commander MCP Server
- Dynamic YAML-driven workflows with schema-guided execution
- Automatic discovery and intelligent matching of workflows
- Real-time workflow state tracking and session management
- Mandatory phase-by-phase instructions for AI agents
- Agent-generated custom YAML workflows on-the-fly
Use cases of Workflow Commander MCP Server
- Guiding AI agents through structured development processes
- Creating custom workflows for web development, data science, and DevOps
- Standardizing debugging and documentation workflows across teams
- Providing instant access to proven workflows for common patterns
FAQ from Workflow Commander MCP Server
What does Workflow Commander MCP Server do?
It provides dynamic YAML-driven workflow guidance for AI coding agents, with built-in discovery and agent-generated workflow creation for structured development processes.
How do I install Workflow Commander MCP Server?
Run the installation script with curl -fsSL https://raw.githubusercontent.com/AndurilCode/workflow-commander/refs/heads/main/install.sh | bash or manually install with uv and configure your MCP client.
What runtime dependencies are required?
Python with either pipx, uv, or pip; the installer handles dependencies and PATH configuration automatically.
How do I configure it for my MCP client?
Use the workflow-commander configure CLI command interactively or for specific platforms (e.g., -p cursor), or manually add the server configuration to your MCP client's JSON file.
What are the two workflow approaches?
Built-in workflow discovery scans .workflow-commander/workflows/ for available YAML workflows, while agent workflow generation allows agents to create custom YAML workflows on-the-fly for any domain.