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Orchestrator MCP Server
概述
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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 DecisionsThe system intelligently determines next steps based on workflow definitions and real-time outcomes, making your processes more flexible.
Simple Markdown DefinitionsCreate and modify workflows using easy-to-read Markdown files instead of complex programming.
State PreservationAutomatically saves progress in a database so workflows can be paused and resumed later.
Smart Error RecoveryThe AI helps reconcile inconsistencies when resuming interrupted workflows.
Benefits and Limitations
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 ConfigureSet up the server by configuring environment variables including your AI service credentials and file paths.
Define Your WorkflowCreate Markdown files in the workflows directory to define your process steps and AI guidance.
Start the ServerLaunch the orchestrator service to make it available for workflow execution.
Interact via MCPUse MCP commands to start, monitor, and advance workflows through the API.
Example Scenarios
Code Review AutomationAutomatically analyze GitLab issues, suggest improvements, and generate refactoring recommendations.
Documentation CheckVerify README files are up-to-date with current project status.
Code RefactoringGuide through systematic refactoring with test coverage.
Frequently Asked Questions
1
Do I need programming skills to use this?Basic Markdown knowledge is sufficient for creating workflows, though some technical understanding helps for complex processes.
2
How does the AI help with workflows?The AI determines the next steps based on workflow definitions and real-time outcomes, handles errors, and helps resume interrupted workflows.
3
Can I edit a workflow while it's running?Changes to workflow definitions won't affect already-running instances. New instances will use the updated definition.
4
What happens if my workflow gets interrupted?The system saves progress automatically. Use the resume_workflow command to continue where you left off.
Additional Resources
Workflow Definition GuideDetailed instructions for creating workflow Markdown files
API ReferenceComplete technical specifications for MCP tools
Sample WorkflowsCollection of pre-built workflow templates
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