💥🛠️ Construcción de asistentes de búsqueda de redes utilizando GPT-4o y MCP Brave Search
Este es unautomatización que contiene 15 nodos.Utiliza principalmente nodos como McpClientTool, Agent, ChatTrigger, LmChatOpenAi, MemoryBufferWindow. 💥🛠️ Construye un robot de búsqueda en la web basado en GPT-4o y MCP Brave Search
- •Clave de API de OpenAI
Nodos utilizados (15)
Categoría
{
"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": "Agente IA",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
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],
"parameters": {
"options": {}
},
"typeVersion": 1.8
},
{
"id": "dde0154e-f7c2-4778-abcc-f79406db5e6b",
"name": "Al recibir mensaje de chat",
"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 Herramientas",
"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 Memoria",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
-120,
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],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "3eba14c5-e4ed-4c4f-8f1d-2b5671b462cc",
"name": "gpt-4o",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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],
"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": "Nota adhesiva",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 4,
"height": 280,
"content": "## 1️⃣ MCP Get Brave Tools"
},
"typeVersion": 1
},
{
"id": "78a52697-352f-47ed-a7d2-3a65c9641fd7",
"name": "Nota adhesiva3",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 4,
"height": 280,
"content": "## 2️⃣ MCP Execute Brave Search"
},
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},
{
"id": "876003d5-7d90-4865-af36-3c0e504b02e7",
"name": "Nota adhesiva4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-200,
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],
"parameters": {
"color": 3,
"height": 280,
"content": "## Short Term Chat Memory"
},
"typeVersion": 1
},
{
"id": "9f64f499-73d7-414f-a3d3-02c0417368a6",
"name": "Nota adhesiva5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-460,
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],
"parameters": {
"color": 5,
"height": 280,
"content": "## Cloud LLM"
},
"typeVersion": 1
},
{
"id": "fc423452-832c-4377-9bde-04ab6d5c89aa",
"name": "Nota adhesiva6",
"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": "Nota adhesiva7",
"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": "Nota adhesiva8",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 4,
"width": 300,
"height": 240,
"content": "## 👍Try Me!"
},
"typeVersion": 1
},
{
"id": "b093a455-aee7-4822-b079-7d9cbac783c2",
"name": "Nota adhesiva1",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"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": "Nota adhesiva2",
"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": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"MCP Get Brave Tools": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"fb3ce3c2-a809-43e5-92d0-82db0d78a971": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
}
}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Intermedio
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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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.
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