Ranjan Dailata This workflow corresponds to n8n.io template #4820 — we link there as the canonical source.
This workflow follows the Agent → HTTP Request 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 →
{
"id": "XSN9T4R0IyqcV2gC",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Perform Google, Bing, Yandex Search with Bright Data MCP Agent & Google Gemini",
"tags": [
{
"id": "Kujft2FOjmOVQAmJ",
"name": "Engineering",
"createdAt": "2025-04-09T01:31:00.558Z",
"updatedAt": "2025-04-09T01:31:00.558Z"
},
{
"id": "ZOwtAMLepQaGW76t",
"name": "Building Blocks",
"createdAt": "2025-04-13T15:23:40.462Z",
"updatedAt": "2025-04-13T15:23:40.462Z"
},
{
"id": "ddPkw7Hg5dZhQu2w",
"name": "AI",
"createdAt": "2025-04-13T05:38:08.053Z",
"updatedAt": "2025-04-13T05:38:08.053Z"
}
],
"nodes": [
{
"id": "80b9e843-974a-4a93-871f-3ead444d1757",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-1300,
300
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2debe6c6-80ef-4fba-a40d-fcfd8a09eefa",
"name": "Bright Data MCP Client List Tools",
"type": "n8n-nodes-mcp.mcpClient",
"position": [
-1080,
300
],
"parameters": {},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "0b66f5bb-66bb-41cf-b165-552d5b169dce",
"name": "Create a binary data",
"type": "n8n-nodes-base.function",
"position": [
180,
220
],
"parameters": {
"functionCode": "items[0].binary = {\n data: {\n data: new Buffer(JSON.stringify(items[0].json, null, 2)).toString('base64')\n }\n};\nreturn items;"
},
"typeVersion": 1
},
{
"id": "8516c6d6-fcae-42ab-8921-9f1d5500f73b",
"name": "MCP Client for Google Search",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
-720,
600
],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "={\n \"query\": \"{{ $json.query }}\",\n \"engine\": \"google\"\n} ",
"descriptionType": "manual",
"toolDescription": "Perform a Google Search and Scrape the Google Search Result"
},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "a17ff821-c508-4b61-8d35-e7f1580e5bb1",
"name": "Set the Input Fields",
"type": "n8n-nodes-base.set",
"position": [
-860,
300
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "219c5e66-e167-44c3-bc65-612c70e8d4a1",
"name": "query",
"type": "string",
"value": "Bright Data"
},
{
"id": "2b9b0541-5c5e-446f-aeaf-8c9ce00dfa00",
"name": "action",
"type": "string",
"value": "Perform Bing search"
},
{
"id": "bcc3ce2a-3708-4b6f-8ddd-3b5e611c63d0",
"name": "webhook_notification_url",
"type": "string",
"value": "https://webhook.site/c9118da2-1c54-460f-a83a-e5131b7098db"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "42639030-338c-4d30-a2e0-a5aaa9325191",
"name": "MCP Client for Bing Search",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
-500,
600
],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "{\n \"query\": \"{{ $json.query }}\",\n \"engine\": \"bing\"\n} ",
"descriptionType": "manual",
"toolDescription": "Perform a Bing Search and Scrape the Bing Search Result"
},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "18f1374e-2516-481c-9fed-3c8757a21296",
"name": "MCP Client for Yandex Search",
"type": "n8n-nodes-mcp.mcpClientTool",
"position": [
-300,
600
],
"parameters": {
"toolName": "search_engine",
"operation": "executeTool",
"toolParameters": "{\n \"query\": \"{{ $json.query }}\",\n \"engine\": \"yandex\"\n} ",
"descriptionType": "manual",
"toolDescription": "Perform a Yandex Search and Scrape the Yandex Search Result"
},
"credentials": {
"mcpClientApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "ff15f988-5f23-4a22-b2fb-25bdd558fce4",
"name": "Bright Data Search AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-600,
300
],
"parameters": {
"text": "={{ $json.action }}\n\nMake sure to output the response as returned by th specific tool.",
"options": {},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "cd255a57-2260-4781-a9b1-e38a4d224572",
"name": "Google Gemini Chat Model for Search Agent",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-900,
600
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "51db57ef-8626-4268-b377-cd95021537c8",
"name": "Write the search result to disk",
"type": "n8n-nodes-base.readWriteFile",
"position": [
420,
220
],
"parameters": {
"options": {},
"fileName": "d:\\Scraped-Search-Results.json",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "afa11162-6e5f-48ee-81a9-120eebf79a72",
"name": "Webhook for clean data extractor",
"type": "n8n-nodes-base.httpRequest",
"position": [
180,
420
],
"parameters": {
"url": "={{ $('Set the Input Fields').item.json.webhook_notification_url }}",
"options": {},
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "response",
"value": "={{ $json.output.search_response }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "07ea15dc-d54f-424c-bb75-27054be6996d",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-400,
140
],
"parameters": {
"color": 3,
"width": 440,
"height": 120,
"content": "## Disclaimer\nThis template is only available on n8n self-hosted as it's making use of the community node for MCP Client."
},
"typeVersion": 1
},
{
"id": "8ed88da4-cfd8-4c27-a737-1c718143e1a4",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-860,
20
],
"parameters": {
"color": 5,
"width": 440,
"height": 240,
"content": "## LLM Usages\n\nGoogle Gemini LLM is being utilized for the structured data extraction handling."
},
"typeVersion": 1
},
{
"id": "b533b59c-5007-4f87-a862-f2765be3d27b",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1320,
-420
],
"parameters": {
"color": 7,
"width": 440,
"height": 360,
"content": "## Logo\n\n\n\n"
},
"typeVersion": 1
},
{
"id": "17265f2a-5224-498c-bf50-36b87a1c3b22",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1320,
-40
],
"parameters": {
"width": 440,
"height": 300,
"content": "## Note\n\nDeals with the Google, Bing, Yandex Search by leveraging the Bright Data MCP Client.\n\n**Please make sure to set the input fields with query, action, Webhook notification URL. Test using https://webhook.site/**\n\nAction - \n1. Perform Google search\n2. Perform Bing search\n3. Perform Yandex search"
},
"typeVersion": 1
},
{
"id": "902a8d8e-d4ad-4934-8c4d-10c7b66aac3c",
"name": "Human Readable Data Extractor",
"type": "@n8n/n8n-nodes-langchain.informationExtractor",
"position": [
-240,
300
],
"parameters": {
"text": "=You are a helpful AI assistant. Given the following search result, return a clean, human-readable information.\n\nRemove any HTML tags, Ignore irrelevant links, ads, navigation text, or footers.\n\nHere's the content - {{ $json.output }}\n\nImportant - Do not output your own thoughts or suggestions.",
"options": {},
"attributes": {
"attributes": [
{
"name": "search_response",
"description": "Search Response"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "1eca092e-da55-4025-85d1-d1d715e23f83",
"name": "Google Gemini Chat Model for Human Readable Data Extractor",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-120,
500
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash-exp"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "0cb1ae5e-f384-48ec-aaa8-e11362a32527",
"connections": {
"Create a binary data": {
"main": [
[
{
"node": "Write the search result to disk",
"type": "main",
"index": 0
}
]
]
},
"Set the Input Fields": {
"main": [
[
{
"node": "Bright Data Search AI Agent",
"type": "main",
"index": 0
}
]
]
},
"MCP Client for Bing Search": {
"ai_tool": [
[
{
"node": "Bright Data Search AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Bright Data Search AI Agent": {
"main": [
[
{
"node": "Human Readable Data Extractor",
"type": "main",
"index": 0
}
]
]
},
"MCP Client for Google Search": {
"ai_tool": [
[
{
"node": "Bright Data Search AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"MCP Client for Yandex Search": {
"ai_tool": [
[
{
"node": "Bright Data Search AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Human Readable Data Extractor": {
"main": [
[
{
"node": "Create a binary data",
"type": "main",
"index": 0
},
{
"node": "Webhook for clean data extractor",
"type": "main",
"index": 0
}
]
]
},
"Bright Data MCP Client List Tools": {
"main": [
[
{
"node": "Set the Input Fields",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Bright Data MCP Client List Tools",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Search Agent": {
"ai_languageModel": [
[
{
"node": "Bright Data Search AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Gemini Chat Model for Human Readable Data Extractor": {
"ai_languageModel": [
[
{
"node": "Human Readable Data Extractor",
"type": "ai_languageModel",
"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.
googlePalmApimcpClientApi
Pro
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About this workflow
Community nodes can only be installed on self-hosted instances of n8n.
Source: https://n8n.io/workflows/4820/ — original creator credit. Request a take-down →
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