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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.

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