#Orchestration MCP Servers

Event-driven architecture for AI agents. Scoped event dispatching strictly limited to one EventBus for zero-trust security.

Manage autonomous AI employees via Lindy. Trigger task runs, monitor reasoning logs, and audit app integrations.

Manage Docker containers and environments via Portainer. List, create, and start containers directly from your AI agent.

Orchestrate microservice workflows via Orkes Conductor. List definitions, track running executions, search workflow history, and inspect task states from any AI agent.

Orchestrate cloud infrastructure via Cloudify. Manage blueprints, deployments, and monitor workflow executions directly from any AI agent.

AI agents build fragile pipelines that fail silently, ignore rate limits, and double-process events. This prover enforces distributed systems discipline: mandatory dead-letter queues (DLQ), exponential backoff, stateful idempotency tracking, and secure credentials.

An AI designed a multi-agent system where agents 'work together seamlessly,' data 'flows naturally between them,' and failures 'self-heal.' Three days later, Agent B crashed and the pipeline froze for 14 hours. No one knew because there was no tracing. That is not orchestration. That is hope with a tech stack. This tool forces five orchestration axes: role boundaries, handoff protocols, failure containment, consensus mechanisms, and distributed tracing.