Generate AI reports for Meta Ads campaigns with Claude & Pipeboard MCP via Slack
Needs changesWhat this workflow does
This AI workflow has 8 nodes and runs on a schedule (every week at 01:00). Along the way it connects Anthropic Chat Model, MCP Client and Slack.
How it runs
Trigger: On a schedule (every week at 01:00).
- Accounts to be Analyzed (Edit Fields (Set)): sets 1 field: current_clients
- Split Out: splits a list into separate items
- Analysis Period (Edit Fields (Set)): sets 1 field: analysis_period
- Agent (AI Agent): runs an AI agent, with model: Anthropic Chat Model; 1 tool (Pipeboard Meta Ads MCP)
- Send a message (Slack): uses Slack
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in Agent (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (7)
- Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Split Out
n8n-nodes-base.splitOut - Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool - Slack
n8n-nodes-base.slack - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
Who's it for Digital marketing agencies and Meta Ads managers who need to generate comprehensive performance reports across multiple client accounts automatically. Perfect for agencies handling 5+ Meta Ads accounts who want to save hours on manual reporting…