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Orchestrator MCP Server
What is the Workflow Orchestrator?
The Workflow Orchestrator is a smart server that helps automate and manage complex tasks by breaking them down into smaller steps. It uses AI to decide the best sequence of actions based on your needs and can adapt to changes or unexpected outcomes automatically.How does it work?
You define workflows in simple Markdown files, then the orchestrator uses AI to guide the execution. It remembers where you are in each workflow and can pick up where you left off if interrupted.When should I use it?
Ideal for: automating repetitive multi-step processes, handling tasks with unpredictable outcomes, creating adaptable workflows that may need changes, and managing long-running operations that might get interrupted.Key Features
AI-Powered Decisions
The system intelligently determines next steps based on workflow definitions and real-time outcomes, making your processes more flexible.
Simple Markdown Definitions
Create and modify workflows using easy-to-read Markdown files instead of complex programming.
State Preservation
Automatically saves progress in a database so workflows can be paused and resumed later.
Smart Error Recovery
The AI helps reconcile inconsistencies when resuming interrupted workflows.
Benefits
Handles complex, non-linear processes that traditional automation tools struggle with
Workflows are human-readable and editable without coding knowledge
Automatically adapts to unexpected situations or outcomes
Maintains workflow state even if interrupted
Limitations
Requires access to an AI service (like Gemini) for full functionality
Complex workflows may require careful step definition
Initial setup of workflow definitions has a learning curve
Getting Started
Install and Configure
Set up the server by configuring environment variables including your AI service credentials and file paths.
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Define Your Workflow
Create Markdown files in the workflows directory to define your process steps and AI guidance.
Start the Server
Launch the orchestrator service to make it available for workflow execution.
Interact via MCP
Use MCP commands to start, monitor, and advance workflows through the API.
Example Scenarios
Code Review Automation
Automatically analyze GitLab issues, suggest improvements, and generate refactoring recommendations.
Documentation Check
Verify README files are up-to-date with current project status.
Code Refactoring
Guide through systematic refactoring with test coverage.
Frequently Asked Questions
Do I need programming skills to use this?
How does the AI help with workflows?
Can I edit a workflow while it's running?
What happens if my workflow gets interrupted?
Additional Resources
Workflow Definition Guide
Detailed instructions for creating workflow Markdown files
API Reference
Complete technical specifications for MCP tools
Sample Workflows
Collection of pre-built workflow templates
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