This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"name": "AI Agent with MCP Client (call any MCP server)",
"nodes": [
{
"id": "5cbf56d6-a2b9-4777-b449-e78de71575e9",
"name": "When Chat Message Received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.4,
"position": [
0,
112
],
"parameters": {
"public": false,
"options": {}
}
},
{
"id": "fb43da23-5e81-4a05-9d18-8896fd386a90",
"name": "MCP Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3.1,
"position": [
224,
112
],
"parameters": {
"promptType": "auto",
"options": {
"systemMessage": "You are an assistant that can call tools exposed by a connected MCP server. Use the available MCP tools to answer the user request, then reply clearly."
}
}
},
{
"id": "bc4bb628-438b-4269-af23-f12d4cf44480",
"name": "LLM via OpenRouter",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"typeVersion": 1,
"position": [
240,
336
],
"parameters": {
"model": "anthropic/claude-sonnet-4"
}
},
{
"id": "09d2f1e7-d35d-4ab4-9c11-3b66ece7c816",
"name": "MCP Server Tools",
"type": "@n8n/n8n-nodes-langchain.mcpClientTool",
"typeVersion": 1.2,
"position": [
368,
336
],
"parameters": {
"endpointUrl": "https://your-mcp-server.example/mcp",
"serverTransport": "httpStreamable",
"authentication": "none",
"include": "all",
"options": {}
}
},
{
"id": "000f1d13-81d0-4573-abbd-4a541b4bc702",
"name": "README",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-560,
-180
],
"parameters": {
"color": 3,
"width": 500,
"height": 460,
"content": "## Give an AI agent tools from any MCP server\n\n**Who's it for**\nBuilders who want an n8n AI agent to use tools exposed by an external MCP (Model Context Protocol) server.\n\n**How it works**\nA chat message goes to an AI Agent connected to an external MCP server via the MCP Client Tool node; the agent discovers and calls that server's tools, then replies.\n\n**How to set up**\n1. Add an OpenRouter credential to the model.\n2. In MCP Server Tools set your MCP endpointUrl (+ transport/auth if needed).\n3. Open the chat and ask something the server's tools can answer.\n\n**Requirements**\n- An OpenRouter account and a reachable MCP server endpoint.\n\n**How to customize**\n- Point at any MCP server; restrict tools via Include; swap the trigger or model."
}
},
{
"id": "df9ef99a-d343-463f-92c9-da4050676b88",
"name": "Step note",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-40,
-190
],
"parameters": {
"color": 7,
"width": 720,
"height": 110,
"content": "### Flow\nWhen Chat Message Received \u2192 MCP Agent (model + MCP Server Tools client) \u2192 reply."
}
}
],
"connections": {
"When Chat Message Received": {
"main": [
[
{
"node": "MCP Agent",
"type": "main",
"index": 0
}
]
]
},
"LLM via OpenRouter": {
"ai_languageModel": [
[
{
"node": "MCP Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"MCP Server Tools": {
"ai_tool": [
[
{
"node": "MCP Agent",
"type": "ai_tool",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
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About this workflow
AI Agent with MCP Client (call any MCP server). Uses chatTrigger, agent, lmChatOpenRouter, mcpClientTool. Chat trigger; 6 nodes.
Source: https://github.com/DeveloperAlly/n8n/blob/aeb8ddaba080bdcba0096b7598bb3afb590717b7/templates/workflows/07-mcp-client-agent.json — original creator credit. Request a take-down →
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