MCP Orchestrator Server
by mokafari
The MCP Orchestrator Server provides task management and coordination capabilities across MCP enabled LLM instances. It allows for AI agents to create, share and execute tasks across instances.
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What is MCP Orchestrator Server?
The MCP Orchestrator Server is a system for managing and coordinating tasks across multiple instances of MCP-enabled LLMs, enabling AI agents to collaborate and execute tasks efficiently.
How to use MCP Orchestrator Server?
To use the server, install the package using npm install and build it with npm run build. Then, use the provided API to create, retrieve, and complete tasks, specifying dependencies and instance IDs as needed.
Key features of MCP Orchestrator Server
Task creation with dependencies
Multi-instance coordination
Persistent task storage
Dependency enforcement
Task status tracking
Task Updates
Safe Deletion
Cycle Detection
Tool Listing
Enhanced State Management
Use cases of MCP Orchestrator Server
Coordinating tasks between different AI agents
Managing complex workflows across multiple LLM instances
Enforcing dependencies between tasks
Tracking the status of tasks in real-time
Automating task execution across a distributed system
FAQ from MCP Orchestrator Server
What is the purpose of the Orchestrator Server?
What is the purpose of the Orchestrator Server?
The Orchestrator Server manages and coordinates tasks across multiple LLM instances.
How do I install the Orchestrator Server?
How do I install the Orchestrator Server?
Use npm install to install the dependencies.
How do I build the Orchestrator Server?
How do I build the Orchestrator Server?
Use npm run build to build the server.
How do I create a task?
How do I create a task?
Use the create_task function with the task details.
How do I get the next task for an instance?
How do I get the next task for an instance?
Use the get_next_task function with the instance ID.