Block 1 - OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
How it works This n8n template automates lead processing from your website. It receives customer data via a Webhook, stores the customer's contact (email or phone number) in the respective [ SendPu...
@n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.httprequest, n8n-nodes-base.datatable, n8n-nodes-base.code, n8n-nodes-base.set, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.mcpclienttool, @n8n/n8n-nodes-langchain.agent
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by SendPulse.
Original n8n.io sourceThis n8n template automates lead processing from your website. It receives customer data via a Webhook, stores the customer's contact (email or phone number) in the respective SendPulse address books, and uses the SendPulse MCP Server to send personalized welcome messages (email or SMS) generated using AI.
The template also includes built-in SendPulse token management logic with caching in the Data Table, which reduces the number of unnecessary API requests.
SendPulse’s MCP server is a tool that helps you manage your account through a chat with an AI assistant. It uses SendPulse API methods to get information and perform actions, such as request statistics, run message campaigns, or update user data.
MCP server acts as middleware between your AI assistant and your SendPulse account. It processes requests through the SendPulse API and sends results back to chat, so you can manage everything without leaving the conversation.
Once connected, the MCP server operates as follows:
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 30 workflow blocks. Download the JSON for the full node graph.
| Workflow | Lead collection with SendPulse and GPT-generated welcome emails/SMS |
|---|---|
| Complexity | advanced |
| Nodes | 30 |
| Categories | Lead Nurturing, Multimodal AI |
| Author | SendPulse |
| Published | 16 Dec 2025 |
Use the JSON export at /data/workflows/11868/11868.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How it works This n8n template automates lead processing from your website. It receives customer data via a Webhook, stores the customer's contact (email or phone number) in the respective [ SendPu...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Nurturing, Multimodal AI use case.