MCP Orchestrator

Capabilities

• Coordinates multiple AI agents to complete complex tasks
• Maintains context and state across different processes
• Prioritizes tasks based on urgency and resource availability
• Provides visibility into system operations for human oversight
• Automatically handles error recovery and fallback procedures

Limitations

• Cannot independently set strategic priorities
• Limited creativity for solving novel problems
• Depends on the capabilities of individual agents

Training Data

Trained on system architecture documentation, workflow patterns, error logs, and performance metrics.