💥🛠️ 使用GPT-4o和MCP Brave Search构建网络搜索聊天机器人
中级
这是一个自动化工作流,包含 15 个节点。主要使用 McpClientTool, Agent, ChatTrigger, LmChatOpenAi, MemoryBufferWindow 等节点。 💥🛠️ 基于GPT-4o和MCP Brave Search构建网络搜索聊天机器人
前置要求
- •OpenAI API Key
分类
-
工作流预览
可视化展示节点连接关系,支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入,即可使用此工作流
{
"id": "6MRJ2tfl8c2f3AuE",
"meta": {
"instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef"
},
"name": "💥🛠️Build a Web Search Chatbot with GPT-4o and MCP Brave Search",
"tags": [],
"nodes": [
{
"id": "b6e5eaa8-ddb3-4c13-8069-ce360bf4a945",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
240,
-180
],
"parameters": {
"options": {}
},
"typeVersion": 1.8
},
{
"id": "dde0154e-f7c2-4778-abcc-f79406db5e6b",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-260,
-180
],
"webhookId": "68e54e15-548a-44df-ad06-7fb9e4e912a9",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "877ce640-4d08-4ba7-b1d3-bcfc79600d2c",
"name": "MCP Get Brave Tools",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
200,
280
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"id": "t2IDYWq0EcqBWvMA",
"name": "MCP Client (STDIO) account 2"
}
},
"typeVersion": 1
},
{
"id": "fb3ce3c2-a809-43e5-92d0-82db0d78a971",
"name": "MCP Execute Brave Search",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
460,
280
],
"parameters": {
"toolName": "={{ $fromAI('tool', 'Set this with the specific tool name') }}",
"operation": "executeTool",
"toolParameters": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Tool_Parameters', ``, 'json') }}"
},
"credentials": {
"mcpClientApi": {
"id": "t2IDYWq0EcqBWvMA",
"name": "MCP Client (STDIO) account 2"
}
},
"typeVersion": 1
},
{
"id": "357bde6a-66d0-48dc-972d-d0b35e3868ed",
"name": "Simple Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-120,
280
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "3eba14c5-e4ed-4c4f-8f1d-2b5671b462cc",
"name": "gpt-4o",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-380,
280
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o",
"cachedResultName": "gpt-4o"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "jEMSvKmtYfzAkhe6",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "781e5d92-6e9d-4874-93fc-5ea17d11f67f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
160
],
"parameters": {
"color": 4,
"height": 280,
"content": "## 1️⃣ MCP Get Brave Tools"
},
"typeVersion": 1
},
{
"id": "78a52697-352f-47ed-a7d2-3a65c9641fd7",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
160
],
"parameters": {
"color": 4,
"height": 280,
"content": "## 2️⃣ MCP Execute Brave Search"
},
"typeVersion": 1
},
{
"id": "876003d5-7d90-4865-af36-3c0e504b02e7",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-200,
160
],
"parameters": {
"color": 3,
"height": 280,
"content": "## Short Term Chat Memory"
},
"typeVersion": 1
},
{
"id": "9f64f499-73d7-414f-a3d3-02c0417368a6",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-460,
160
],
"parameters": {
"color": 5,
"height": 280,
"content": "## Cloud LLM"
},
"typeVersion": 1
},
{
"id": "fc423452-832c-4377-9bde-04ab6d5c89aa",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-500,
-400
],
"parameters": {
"color": 7,
"width": 1200,
"height": 920,
"content": "# 💥🛠️Your First Simple MCP AI Chatbot using Brave Search\nhttps://github.com/nerding-io/n8n-nodes-mcp\nhttps://brave.com/search/api/"
},
"typeVersion": 1
},
{
"id": "5c6c7307-3283-4698-9104-c80df8a62888",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
40
],
"parameters": {
"width": 580,
"height": 440,
"content": "## 🛠️ MCP Toolbox\nhttps://github.com/nerding-io/n8n-nodes-mcp\nhttps://brave.com/search/api/"
},
"typeVersion": 1
},
{
"id": "9d1bb515-f8fa-4d48-bbf5-c083f5efd89d",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
-240
],
"parameters": {
"color": 4,
"width": 300,
"height": 240,
"content": "## 👍Try Me!"
},
"typeVersion": 1
},
{
"id": "b093a455-aee7-4822-b079-7d9cbac783c2",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1060,
-400
],
"parameters": {
"width": 520,
"height": 1040,
"content": "### **Who is this for?**\nThis workflow is ideal for developers, automation enthusiasts, and businesses looking to integrate AI-powered chat capabilities into their workflows. It's particularly useful for those leveraging Brave Search and MCP tools to enhance user interactions and streamline data retrieval.\n\n### **What problem is this workflow solving?**\nThis workflow addresses the challenge of creating an intelligent chatbot that can process user queries, execute searches using Brave Search, and provide responses enriched by AI. It simplifies the integration of multiple tools into a cohesive system, saving time and effort for users who need a robust conversational AI solution.\n\n### **What this workflow does**\n- Listens for incoming chat messages using the **Chat Trigger** node.\n- Processes user input with an **AI Agent** powered by GPT-4o.\n- Retrieves relevant tools using the **MCP Get Brave Tools** node.\n- Executes specific search queries via the **MCP Execute Brave Search** node.\n- Maintains short-term memory of conversations with the **Simple Memory** node.\n\n### **Setup**\n1. **Prerequisites**:\n - Access to an n8n instance (self-hosted).\n - API credentials for OpenAI and MCP Client Tools.\n - Brave Search API key.\n\n2. **Steps**:\n - Import the workflow JSON into your n8n instance.\n - Configure the API credentials for OpenAI and MCP Client Tools in their respective nodes.\n - Set up your Brave Search API key in the MCP nodes. https://brave.com/search/api/\n\n3. **Testing**:\n - Use the built-in chat interface to send test messages.\n - Verify that the chatbot processes queries and returns results as expected.\n\n### **How to customize this workflow to your needs**\n- Modify the AI Agent's prompt settings to tailor responses to your specific use case.\n- Adjust the memory buffer in the Simple Memory node to retain more or less conversational context.\n- Replace or add additional tools in the MCP nodes to expand functionality.\n"
},
"typeVersion": 1
},
{
"id": "8fb4f215-da26-43ad-b187-9b52ed6485ba",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
80,
-280
],
"parameters": {
"width": 580,
"height": 280,
"content": "## 🤖 AI Agent with Tools"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "a555f325-abd3-44bd-ac48-8b0f6910824e",
"connections": {
"3eba14c5-e4ed-4c4f-8f1d-2b5671b462cc": {
"ai_languageModel": [
[
{
"node": "b6e5eaa8-ddb3-4c13-8069-ce360bf4a945",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"357bde6a-66d0-48dc-972d-d0b35e3868ed": {
"ai_memory": [
[
{
"node": "b6e5eaa8-ddb3-4c13-8069-ce360bf4a945",
"type": "ai_memory",
"index": 0
}
]
]
},
"877ce640-4d08-4ba7-b1d3-bcfc79600d2c": {
"ai_tool": [
[
{
"node": "b6e5eaa8-ddb3-4c13-8069-ce360bf4a945",
"type": "ai_tool",
"index": 0
}
]
]
},
"fb3ce3c2-a809-43e5-92d0-82db0d78a971": {
"ai_tool": [
[
{
"node": "b6e5eaa8-ddb3-4c13-8069-ce360bf4a945",
"type": "ai_tool",
"index": 0
}
]
]
},
"dde0154e-f7c2-4778-abcc-f79406db5e6b": {
"main": [
[
{
"node": "b6e5eaa8-ddb3-4c13-8069-ce360bf4a945",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流?
复制上方的 JSON 配置代码,在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」,粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景?
中级
需要付费吗?
本工作流完全免费,您可以直接导入使用。但请注意,工作流中使用的第三方服务(如 OpenAI API)可能需要您自行付费。
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工作流信息
难度等级
中级
节点数量15
分类-
节点类型6
作者
Joseph LePage
@joeAs an AI Automation consultant based in Canada, I partner with forward-thinking organizations to implement AI solutions that streamline operations and drive growth.
外部链接
在 n8n.io 查看 →
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