MCP employee performance & productivity insights engine with automated manager
Ready for 3.0What this workflow does
This AI workflow has 15 nodes and runs on a schedule (every week at 09:00). Along the way it connects OpenAI Chat Model and Gmail.
How it runs
Trigger: On a schedule (every week at 09:00).
- Workflow Configuration (Edit Fields (Set)): sets 7 fields: pmToolApiUrl, codeRepoApiUrl, meetingLogsApiUrl…
- Fetch PM Tool Data (HTTP Request): calls an HTTP API
- Fetch Code Repo Data (HTTP Request): calls an HTTP API
- Fetch Meeting Logs (HTTP Request): calls an HTTP API
- Fetch CRM Activity (HTTP Request): calls an HTTP API
- Combine All Data Sources (Aggregate): combines items into one
- Performance Analysis Agent (AI Agent): runs an AI agent, with model: OpenAI Chat Model; output parser: Structured Output Parser
- Process Performance Data (Code): runs custom JavaScript code
- Check for Bottlenecks or Overload (If): checks a condition and branches into true / false
- Create Manager Follow-up Tasks (Edit Fields (Set)): sets 5 fields: taskTitle, taskDescription, taskPriority…
…plus 2 more steps. See the full node list below.
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 (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Aggregate
n8n-nodes-base.aggregate - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Gmail
n8n-nodes-base.gmail
From the author
How It Works This workflow automates performance monitoring by aggregating data from PM tools, code repositories, meeting logs, and CRM systems. It processes team metrics using AI-powered analysis via OpenAI, identifies bottlenecks and workload issues, then…