.png){kind=logo}
Connect execution logs, error traces, and performance metrics from n8n to AI agents. Debug faster, monitor smarter, and actually understand what's happening across 500+ workflows.
No more clicking through execution logs one by one. Your AI agent pulls data directly from n8n—failed executions, node outputs, credential issues, webhook activity. It sees what you see, but across every workflow at once.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent doesn't just read—it acts. Pause problematic workflows. Update webhook URLs after deployments. Retry failed executions with corrected parameters. The kind of ops work that eats up your afternoon.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Stop refreshing the executions page. AI monitors your workflows and tells you what matters: execution volume drops, error rate spikes, nodes that suddenly started failing. Real issues, not just noise.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent doesn't just read—it acts. Pause problematic workflows. Update webhook URLs after deployments. Retry failed executions with corrected parameters. The kind of ops work that eats up your afternoon.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Your Shopify API credentials expired. Now 30 workflows are failing. You need to find every workflow using those credentials, pause them, update the auth, test one, then re-enable the rest. That's an hour of clicking through the UI, minimum.
AI finds all workflows with the expired credential in 3 seconds. Pauses them. You fix the credential. AI runs a test execution on your core workflow, confirms it works, then re-enables the others. Total time: 5 minutes.
Your webhook-triggered workflows fail intermittently. Could be payload structure. Could be rate limits. Could be that one node in the middle that sometimes times out. Checking execution logs manually means opening 50+ failed runs and comparing node outputs.
Ask AI to analyze failed webhook executions. It spots the pattern immediately: the HTTP Request node times out when the payload is over 100KB. You add a file size check before that node. Problem solved in one conversation instead of two hours of log diving.
You need to update an API endpoint. But which workflows call it? There's no dependency map. You search through 500+ workflows manually, hoping you don't miss one that only runs weekly. Miss it, and you'll find out when someone reports broken data.
AI searches all workflow configurations for that endpoint in seconds. Tells you exactly which 12 workflows reference it, when they last ran, and whether they're active. You update them all before the API change goes live. Zero broken workflows.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Yes. Works with both n8n Cloud and self-hosted instances. You'll need to provide your n8n API endpoint and credentials during setup. The MCP server connects via n8n's REST API, so as long as your instance is accessible and API access is enabled, you're good.
Workflows (active/inactive status, nodes, triggers, credentials used), executions (success/failure, timestamps, node outputs, error messages), credentials (names and IDs, not the actual secrets), and workflow statistics (execution counts, error rates, performance metrics). Basically everything you see in the n8n UI.
It can do both. Read-only access includes viewing workflows, executions, and logs. Write access lets AI activate/deactivate workflows, retry failed executions, update workflow settings, and manage tags. You control the permission scope when you set up the integration. Start with read-only if you want to be cautious.
Instead of manually clicking through execution logs, you ask AI to find patterns. 'Show me all failures in the last week where the Postgres node threw an error.' It pulls the data, identifies common error messages, and can even trace which node configurations changed before failures started. Cuts debugging time from hours to minutes.
No. The MCP server queries n8n's API directly with filters and pagination. When you ask about failed executions, it doesn't pull data for all 1000 workflows—just the relevant subset. Most queries return in 2-5 seconds regardless of your total workflow count. We've tested with instances running 2000+ workflows.
Nope. If you can use Claude or another AI chat interface, you're set. The MCP integration runs in the background. You just talk to your AI agent in plain English: 'Which workflows failed overnight?' or 'Pause all workflows tagged staging.' The agent handles the technical API calls automatically.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
.png)
