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Orchestrator MCP Server
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Orchestrator MCP Server

该项目实现了一个基于AI的工作流编排MCP服务器，通过大型语言模型(LLM)实现智能决策和动态调整，支持复杂任务分解、状态持久化和工作流恢复。
开发者工具人工智能聊天机器人#AI工作流#动态编排#状态管理#MCP服务.Python
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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 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.
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

安装

复制以下命令到你的Client进行配置
注意：您的密钥属于敏感信息，请勿与任何人分享。

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