Enrich company profiles with Explorium MCP and Claude AI for GTM research
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 12 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Sheets, MCP Client and Anthropic Chat Model.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Get rows to enrich (Google Sheets): uses Google Sheets
- Input (Edit Fields (Set)): sets 2 fields: company_input, row_number
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- AI company researcher (AI Agent): runs an AI agent, with model: Anthropic Chat Model; 2 tools (MCP Client, Get website content); output parser: Structured Output Parser
- Merge: merges the data from its input branches
- AI Researcher Output Data (Edit Fields (Set)): sets 9 fields: domain, linkedinUrl, market…
- Google Sheets: update
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 AI company researcher (v1.6): 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 company researcher (v1.6) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (10)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - Call n8n Workflow Tool
@n8n/n8n-nodes-langchain.toolWorkflow - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Google Sheets
n8n-nodes-base.googleSheets - Merge
n8n-nodes-base.merge - AI Agent
@n8n/n8n-nodes-langchain.agent - MCP Client Tool
@n8n/n8n-nodes-langchain.mcpClientTool - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic
From the author
🕵️ Company Research Agent (n8n + Explorium + LLM) This n8n workflow automates company research by combining Explorium’s MCP server, web scraping tools, and an AI agent. Results are written to a Google Sheet for easy use in GTM, product analysis, or…