This workflow corresponds to n8n.io template #3303 — we link there as the canonical source.
This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
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 →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "bc58bd73-921a-445c-a905-6f1bbbc0e9c3",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
1160,
420
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "308aea70-2831-4abd-90f6-d4cbf3901be4",
"name": "n8n Research AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1440,
420
],
"parameters": {
"options": {
"systemMessage": "You are an assistant integrated with the n8n Multi-Channel Platform (MCP). Your primary role is to interact with the MCP to retrieve available tools and content based on user queries about n8n. When a user asks for information or assistance regarding n8n, first send a request to the MCP to fetch the relevant tools and content. Analyze the retrieved data to understand the available options, then create a tailored response that addresses their specific needs regarding n8n functionalities, documentation, forum posts, or example workflows. Ensure that your responses are clear, actionable, and directly related to the user's queries about n8n."
}
},
"typeVersion": 1.8
},
{
"id": "94cb78f5-3520-4432-b3c9-0524411113e9",
"name": "n8n-assistant Tool Lookup",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
1500,
640
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "78a87949-afda-4c52-ae9f-f8d343fb6567",
"name": "n8n-assistant Execute Tool",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
1700,
640
],
"parameters": {
"toolName": "={{$fromAI(\"tool\",\"Set this specific tool name\")}}",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "cc1619ec-6f49-45e6-8a7b-440da7ee5bc5",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1320,
640
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
}
],
"connections": {
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "n8n Research AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"n8n-assistant Tool Lookup": {
"ai_tool": [
[
{
"node": "n8n Research AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "n8n Research AI Agent",
"type": "main",
"index": 0
}
]
]
},
"n8n-assistant Execute Tool": {
"ai_tool": [
[
{
"node": "n8n Research AI Agent",
"type": "ai_tool",
"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.
mcpClientApiopenAiApi
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About this workflow
This workflow empowers you to effortlessly get answers to your n8n platform questions through an AI-powered assistant. Simply send your query, and the assistant will search documentation, forum posts, and example workflows to provide comprehensive, accurate responses tailored to…
Source: https://n8n.io/workflows/3303/ — original creator credit. Request a take-down →
Related workflows
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This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
MCP Agent Demo. Uses chatTrigger, agent, memoryPostgresChat, n8n-nodes-mcp. Chat trigger; 8 nodes.
n8n-mcp_client-for-fb-post-comment-with gpt-oss-120b-NativeMCPServerApify-Notification-v2. Uses chatTrigger, memoryBufferWindow, agent, lmChatOpenAi. Chat trigger; 7 nodes.
n8n-mcp_client-for-fb-post-comment-with gpt-oss-120b-NativeMCPServerApify-v2. Uses chatTrigger, memoryBufferWindow, agent, lmChatOpenAi. Chat trigger; 6 nodes.
Send. Uses chatTrigger, agent, n8n-nodes-mcp, lmChatOpenAi. Chat trigger; 5 nodes.