UnifyApps MCP. Audit all workflows and integration health from chat.

UnifyApps lets you take over complex system monitoring. You can query every integration, list every defined workflow blueprint, check active connection credentials, and audit execution logs—all from a single chat interface. This thing is built for debugging massive SaaS orchestration systems.

Inventorying What's Coupled

You need to know what services are hooked up before you can fix anything. You'll get a full inventory of every application coupled into UnifyApps using list_integrations. That gives you the complete picture of your connected components. If you gotta check on credentials, you've got two ways: first, run list_active_connections to see all accounts that are currently logged in and running; or, if you know exactly which connection is giving you trouble, use get_integration_details(ID) to pull up specific status information for just that one integration.

Mapping the System Logic

Figuring out how everything talks to each other can be a nightmare. You'll get a structured view of every single possible automation flow blueprint by calling list_automation_flows. This lets you map out all your workflows without clicking through nested visual menus and getting lost. For managing the brains behind this operation, use list_ai_agents to pull up a list of every AI agent system that's configured within the UnifyApps environment.

Tracking Failures and Successes

When something breaks, you need history—you don't need guesswork. You can run list_flow_executions to query recent run logs for any specific automation flow. This tool shows you a clear record of the execution status, letting you see which runs succeeded and which ones failed. That historical data is your primary debugging resource.

How It Works in Practice

Think of this server like a deep-dive console for an operations team. You don't have to jump between five different dashboards to check the health of your whole setup. Instead, you tell your agent what you need—like 'show me all connections that failed last week,' or 'list every integration I've used.' The system talks back with specific data points pulled directly from the tools we laid out.

If you find an issue, say a flow isn't running right, you can start by calling list_automation_flows to verify the blueprint is correct. Then, check that same flow's execution history using list_flow_executions. If the logs look good but it still fails, maybe you gotta dig into the credentials. You'll use get_integration_details(ID) on that specific app to make sure the token hasn't expired or gotten revoked.

It’s a methodical process: map it, check its connections, and then audit the history.

You never have to guess what kind of system you're running. You pull a list of all agents with list_ai_agents, verifying that every component—from your most basic connected service (list_integrations) to your complex multi-step workflow—is accounted for and working as it should.