The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Customer Support AI Agent",
"id": "wf-001",
"nodes": [
{
"name": "Webhook Trigger",
"type": "n8n-nodes-base.webhook",
"parameters": {
"path": "support",
"httpMethod": "POST",
"authentication": "none"
},
"position": [
200,
300
]
},
{
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"parameters": {
"agentType": "conversationalAgent"
},
"position": [
400,
300
]
},
{
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"parameters": {
"model": "gpt-4o",
"temperature": 0.7
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"position": [
400,
500
]
},
{
"name": "MCP Client",
"type": "@n8n/n8n-nodes-langchain.mcpClientTool",
"parameters": {
"sseEndpoint": "https://external-mcp-server.example.com/sse"
},
"position": [
600,
500
]
},
{
"name": "Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"parameters": {
"contextWindowLength": 10
},
"position": [
400,
700
]
}
],
"connections": {
"Webhook Trigger": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"MCP Client": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
openAiApi
About this workflow
Customer Support AI Agent. Uses agent, lmChatOpenAi, mcpClientTool, memoryBufferWindow. Webhook trigger; 5 nodes.
Source: https://github.com/Trusera/ai-bom/blob/main/examples/demo-project/workflows/customer-support-agent.json — original creator credit. Request a take-down →