Monitor asset health and predict maintenance with Anthropic Claude and Slack
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 21 nodes and runs on a schedule (every 6 hours). Along the way it connects Anthropic Chat Model, MCP Client and Slack.
How it runs
Trigger: On a schedule (every 6 hours).
- Workflow Configuration (Edit Fields (Set)): sets 5 fields: criticalThreshold, highThreshold, slackChannel…
- Generate Asset Health Data (Code): runs custom JavaScript code
- Performance Evaluation Agent (AI Agent): runs an AI agent, with model: Anthropic Model - Performance Agent; 4 tools (MCP External Data Tool, Parts Readiness Agent Tool, Lifecycle Reporting Agent Tool, Maintenance Scheduling Agent Tool); output parser: Performance Analysis Output Parser
- Route by Risk Level (Switch): routes items into 2 branches
- Notify Critical Alert (Slack): uses Slack
- Email Escalation Report (Send Email): sends an email over SMTP
- Log Routine Maintenance (Edit Fields (Set)): sets 9 fields: logType, assetId, assetName…
- Merge: merges the data from its input branches
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (12)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - AI Agent Tool
@n8n/n8n-nodes-langchain.agentTool - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool - Switch
n8n-nodes-base.switch - Slack
n8n-nodes-base.slack - Send Email
n8n-nodes-base.emailSend - Merge
n8n-nodes-base.merge
From the author
How It Works This workflow automates industrial asset health monitoring and predictive maintenance using Anthropic Claude across coordinated specialist agents. It targets facility managers, maintenance engineers, and operations teams in manufacturing, energy,…