orchestrator-mcp-server
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The Workflow Orchestrator MCP Server is an AI-powered system designed to manage and execute complex workflows using a Large Language Model (LLM) for intelligent decision-making.
The Workflow Orchestrator MCP Server is a sophisticated system that leverages AI to manage and execute complex workflows. It breaks down tasks into discrete steps, with an AI agent dynamically determining the sequence based on workflow definitions, current context, and real-time feedback. Workflows are defined in Markdown, making them human-readable and easy to edit. The system ensures persistent state management using a local SQLite database, allowing for long-running processes and seamless resumption of interrupted workflows. The architecture includes an API layer, orchestration engine, workflow definition service, state persistence module, and AI interaction module, all working together to provide a robust and adaptable workflow management solution.
Features
- Intelligent, Non-Linear Workflows: Enables dynamic and adaptable processes beyond rigid scripts.
- Reusable & Modular Steps: Promotes reuse and maintainability with step definitions in Markdown.
- Human-Readable & Editable: Workflows are easy to author and understand.
- Adaptable Instructions & AI Prompts: Provides rich context to the AI for dynamic decision-making.
- Persistent State Management: Tracks workflow progress reliably using SQLite.
Tools
list_workflows
List available workflow definitions.
start_workflow
Starts a workflow by name, optionally with initial context.
get_workflow_status
Gets the current status of a running workflow instance.
advance_workflow
Reports the outcome of the previous step and requests the next step.
resume_workflow
Reconnects to an existing workflow instance, providing the client's assumed state for reconciliation.
