GPT-4o と MCP Brave Search でウェブ検索チャットボットを構築
中級
これは自動化ワークフローで、15個のノードを含みます。主にMcpClientTool, Agent, ChatTrigger, LmChatOpenAi, MemoryBufferWindowなどのノードを使用。 GPT-4oとMCP Brave Searchを基盤としたウェブ検索チャットボットの構築
前提条件
- •OpenAI API Key
カテゴリー
-
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"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エージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
240,
-180
],
"parameters": {
"options": {}
},
"typeVersion": 1.8
},
{
"id": "dde0154e-f7c2-4778-abcc-f79406db5e6b",
"name": "チャットメッセージ受信時",
"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 Braveツール取得",
"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 Brave検索実行",
"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": "シンプルメモリ",
"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": "付箋",
"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": "付箋3",
"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": "付箋4",
"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": "付箋5",
"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": "付箋6",
"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": "付箋7",
"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": "付箋8",
"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": "付箋1",
"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": "付箋2",
"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
}
]
]
}
}
}よくある質問
このワークフローの使い方は？
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか？
中級
有料ですか？
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。
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ワークフロー情報
難易度
中級
ノード数15
カテゴリー-
ノードタイプ6
作成者
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.
外部リンク
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