Automate company ICP scoring with Explorium data and Claude AI analysis
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 5 nodes and runs when someone submits an n8n form (“Company ICP scoring”). Along the way it connects MCP Client and Anthropic Chat Model. It also calls md2doc.n8n.aemalsayer.com over HTTP.
How it runs
Trigger: When someone submits an n8n form (“Company ICP scoring”).
- AI Agent: runs an AI agent, with model: Anthropic Chat Model; 1 tool (MCP Client)
- HTTP Request: calls md2doc.n8n.aemalsayer.com (POST)
Services it uses
HTTP calls to: md2doc.n8n.aemalsayer.com
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 AI Agent (v1.9): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.9) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (5)
- n8n Form Trigger
n8n-nodes-base.formTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - HTTP Request
n8n-nodes-base.httpRequest
From the author
🧠 ICP Scoring Agent (n8n + Explorium + LLM) This workflow automates Ideal Customer Profile (ICP) scoring for any company using a combination of Explorium data and an LLM-driven evaluation framework. --- 🔧 How It Works 1. Input: Company name is submitted via…