Workflow: draft a n8n workflow that handles Http Aggregate Import Webhook
Integrations: aggregate, executeWorkflowTrigger, httpRequest, set, stickyNote, switch

{"meta": {"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9", "templateCredsSetupCompleted": true}, "nodes": [{"id": "aef123fd-3481-4708-ae85-684529e4f05f", "name": "When Executed by Another Workflow", "type": "n8n-nodes-base.executeWorkflowTrigger", "position": [340, 300], "parameters": {"workflowInputs": {"values": [{"name": "operation"}, {"name": "query"}, {"name": "urls"}]}}, "typeVersion": 1.1}, {"id": "d77e695b-8340-4715-9862-b6428d7d12e4", "name": "Operation", "type": "n8n-nodes-base.switch", "position": [580, 300], "parameters": {"rules": {"values": [{"outputKey": "Youtube Search", "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "81b134bc-d671-4493-b3ad-8df9be3f49a6", "operator": {"type": "string", "operation": "equals"}, "leftValue": "={{ $json.operation }}", "rightValue": "youtube_search"}]}, "renameOutput": true}, {"outputKey": "Youtube Transcripts", "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "8d57914f-6587-4fb3-88e0-aa1de6ba56c1", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "={{ $json.operation }}", "rightValue": "youtube_transcripts"}]}, "renameOutput": true}, {"outputKey": "Usage Metrics", "conditions": {"options": {"version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict"}, "combinator": "and", "conditions": [{"id": "7c38f238-213a-46ec-aefe-22e0bcb8dffc", "operator": {"name": "filter.operator.equals", "type": "string", "operation": "equals"}, "leftValue": "={{ $json.operation }}", "rightValue": "usage_metrics"}]}, "renameOutput": true}]}, "options": {}}, "typeVersion": 3.2}, {"id": "b2d3e630-9664-481e-b250-9d5a3ff065ee", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-440, -100], "parameters": {"color": 7, "width": 680, "height": 660, "content": "## 1. Set up an MCP Server Trigger\n[Read more about the MCP Server Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger)"}, "typeVersion": 1}, {"id": "6facfbdf-bc66-4652-8ae6-a1513962fe2e", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [260, -100], "parameters": {"color": 7, "width": 1240, "height": 820, "content": "## 2. [APIFY.com](https://www.apify.com?fpr=414q6) for Easy Youtube Search and Transcripts\n[Sign up for Apify.com using 20JIMLEUK for 20% discount](https://www.apify.com?fpr=414q6)\n\nI've used Apify's Youtube scrapers a couple of times already and I find them quite fast and dependable for production use-cases.\nI particularly like that my workflows don't break when I inevitably hit the official Youtube rate limits which are quite low.\nFor this MCP server, I'm using the following youtube scraper for search and downloading transcripts: [https://apify.com/streamers/youtube-scraper](https://apify.com/streamers/youtube-scraper?fpr=414q6)"}, "typeVersion": 1}, {"id": "3473a800-6bdc-412d-82f2-aa5befd2dfe4", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [-440, -220], "parameters": {"color": 5, "width": 380, "height": 100, "content": "### Always Authenticate Your Server!\nBefore going to production, it's always advised to enable authentication on your MCP server trigger."}, "typeVersion": 1}, {"id": "adddb2c3-5823-426e-bd10-4ae2f3ed0f8c", "name": "Youtube Transcripts", "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "position": [0, 280], "parameters": {"name": "youtube_transcripts", "workflowId": {"__rl": true, "mode": "id", "value": "={{ $workflow.id }}"}, "description": "Fetch the transcript from a youtube video using the youtube video url.", "workflowInputs": {"value": {"urls": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('urls', ``, 'string') }}", "query": "null", "operation": "youtube_transcripts"}, "schema": [{"id": "operation", "type": "string", "display": true, "removed": false, "required": false, "displayName": "operation", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "query", "type": "string", "display": true, "removed": false, "required": false, "displayName": "query", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "urls", "type": "string", "display": true, "removed": false, "required": false, "displayName": "urls", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}}, "typeVersion": 2.1}, {"id": "bce90f0f-a0d8-4e43-98f2-70426b28759d", "name": "Youtube Search", "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "position": [-280, 280], "parameters": {"name": "websearch_contents", "workflowId": {"__rl": true, "mode": "id", "value": "={{ $workflow.id }}"}, "description": "Performs a youtube search and retrieves relevant videos with metadata only.", "workflowInputs": {"value": {"urls": "null", "query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('query', ``, 'string') }}", "operation": "youtube_search"}, "schema": [{"id": "operation", "type": "string", "display": true, "removed": false, "required": false, "displayName": "operation", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "query", "type": "string", "display": true, "removed": false, 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"executeOnce": true, "typeVersion": 4.2}, {"id": "ea57908b-f927-466c-86ff-2265a5ee001a", "name": "Simplify Search Results", "type": "n8n-nodes-base.set", "position": [1060, 100], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "9d1db837-e256-4124-80d1-8b103dbbefbb", "name": "channelName", "type": "string", "value": "={{ $json.channelName }}"}, {"id": "94cebccb-b499-4fab-a1ff-187179dcd5ce", "name": "title", "type": "string", "value": "={{ $json.title }}"}, {"id": "cc68698a-221a-49b8-a349-d16ad4fa746c", "name": "url", "type": "string", "value": "={{ $json.url }}"}, {"id": "de8ae3e0-685d-4e40-839f-13c798d4e5e2", "name": "description", "type": "string", "value": "={{ $json.text.substr(0,2_000) }}"}, {"id": "e933cbca-486c-45c9-8ed0-89a3d1efe003", "name": "viewCount", "type": "number", "value": "={{ $json.viewCount }}"}, {"id": "417846bb-5e8c-42af-b1dc-8b1de9fa426c", "name": "likes", "type": "number", "value": "={{ $json.likes }}"}]}}, "typeVersion": 3.4}, {"id": 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"aggregateAllItemData", "destinationFieldName": "response"}, "typeVersion": 1}, {"id": "53f6c967-bca1-4322-9939-7e0078ef99ed", "name": "Aggregate Transcript Results", "type": "n8n-nodes-base.aggregate", "position": [1260, 300], "parameters": {"options": {}, "aggregate": "aggregateAllItemData", "destinationFieldName": "response"}, "typeVersion": 1}, {"id": "04590cf0-38e5-4113-abb8-14c141524b1c", "name": "Simplify Usage Metrics", "type": "n8n-nodes-base.set", "position": [1260, 500], "parameters": {"options": {}, "assignments": {"assignments": [{"id": "ff43aa98-4e32-478d-9e43-619b7b808948", "name": "monthlyUsageCycle_startAt", "type": "string", "value": "={{ $json.data.monthlyUsageCycle.startAt }}"}, {"id": "145eefd3-5248-40e9-a988-9e0e578d930a", "name": "monthlyUsageCycle_endAt", "type": "string", "value": "={{ $json.data.monthlyUsageCycle.endAt }}"}, {"id": "020d1e4f-d7ec-4d69-b9be-b6c4ba5971eb", "name": "monthlyUsageUsd", "type": "string", "value": "={{ 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}}"}, {"id": "df993499-7410-450c-b5b1-50052e6d061e", "name": "DATA_TRANSFER_EXTERNAL_GBYTES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATA_TRANSFER_EXTERNAL_GBYTES.amountAfterVolumeDiscountUsd }}"}, {"id": "1627a2dd-15a6-4b69-b480-4e1b792c403d", "name": "DATA_TRANSFER_INTERNAL_GBYTES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATA_TRANSFER_INTERNAL_GBYTES.amountAfterVolumeDiscountUsd }}"}, {"id": "73037e97-e43d-4ecd-bb7e-6c5ce4740e4d", "name": "KEY_VALUE_STORE_READS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_READS.amountAfterVolumeDiscountUsd }}"}, {"id": "5de9ba3b-bf62-4525-9cd9-5008bafe73c5", "name": "KEY_VALUE_STORE_TIMED_STORAGE_GBYTE_HOURS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"}, {"id": "6d1997f2-46c0-468b-b50f-fc37512417d2", "name": "KEY_VALUE_STORE_WRITES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.KEY_VALUE_STORE_WRITES.amountAfterVolumeDiscountUsd }}"}, {"id": "b579cb9e-d18f-4877-b808-a177195a364a", "name": "PAID_ACTORS_PER_DATASET_ITEM", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.PAID_ACTORS_PER_DATASET_ITEM.amountAfterVolumeDiscountUsd }}"}, {"id": "5c69831c-3c62-421d-afff-bd8cfb68fb29", "name": "REQUEST_QUEUE_READS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_READS.amountAfterVolumeDiscountUsd }}"}, {"id": "21d54d4d-515b-4fa7-b099-c8b193fc4436", "name": "=REQUEST_QUEUE_TIMED_STORAGE_GBYTE_HOURS", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"}, {"id": "68168fc6-0052-4fa6-b631-942d972af340", "name": "REQUEST_QUEUE_WRITES", "type": "number", "value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.REQUEST_QUEUE_WRITES.amountAfterVolumeDiscountUsd }}"}]}}, "typeVersion": 3.4}, {"id": "dee72606-aeea-41bf-97e3-037afbd03efc", "name": "Get Usage Limits", "type": "n8n-nodes-base.httpRequest", "position": [1060, 500], "parameters": {"url": "https://api.apify.com/v2/users/me/limits", "options": {}, "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth"}, "credentials": {"httpHeaderAuth": {"id": "SV9BDKc1cRbZBeoL", "name": "Apify.com (personal token)"}}, "typeVersion": 4.2}, {"id": "49715bf8-56a9-41ee-a756-eb05ea4f1e7d", "name": "Usage Report", "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "position": [-140, 400], "parameters": {"name": "Apfiy_Usage_Metrics", "workflowId": {"__rl": true, "mode": "id", "value": "={{ $workflow.id }}"}, "description": "Returns current month's usage metrics.", "workflowInputs": {"value": {"urls": "null", "query": "null", "operation": "=usage_report"}, "schema": [{"id": "operation", "type": "string", "display": true, "removed": false, "required": false, "displayName": "operation", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "query", "type": "string", "display": true, "removed": false, "required": false, "displayName": "query", "defaultMatch": false, "canBeUsedToMatch": true}, {"id": "urls", "type": "string", "display": true, "removed": false, "required": false, "displayName": "urls", "defaultMatch": false, "canBeUsedToMatch": true}], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false}}, "typeVersion": 2.1}, {"id": "737eca46-cb1f-443f-8243-33d429f0bfe3", "name": "Get Usage Metrics", "type": "n8n-nodes-base.httpRequest", "position": [860, 500], "parameters": {"url": "https://api.apify.com/v2/users/me/usage/monthly", "options": {}, "authentication": "genericCredentialType", "genericAuthType": "httpHeaderAuth"}, "credentials": {"httpHeaderAuth": {"id": "SV9BDKc1cRbZBeoL", "name": "Apify.com (personal token)"}}, "typeVersion": 4.2}, {"id": "90da2c29-a1fc-4772-a271-602cdd14b679", "name": "Apify Youtube MCP Server", "type": "@n8n/n8n-nodes-langchain.mcpTrigger", "position": [-300, 60], "webhookId": "b975bb25-be7c-49fb-8cd2-8e135d91ed4e", "parameters": {"path": "b975bb25-be7c-49fb-8cd2-8e135d91ed4e"}, "typeVersion": 1}, {"id": "b427a01f-099d-43f8-8b8d-04186a5d330e", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [-960, -460], "parameters": {"width": 480, "height": 1020, "content": "## Try It Out!\n### This n8n demonstrates how to build a simple Youtube Search MCP server to look up videos on Youtube and download their transcripts for research purposes.\n\n### How it works\n* A MCP server trigger is used and connected to 3 custom workflow tools: Youtube Search, Youtube Transcripts and Usage Reports.\n* Both Youtube tools use an external scraping service called [APIFY.com](https://www.apify.com?fpr=414q6). This is my preference as it's a much simpler interface and there are no rate limits.  \n* The Youtube Search fetches 10 results based on the user's query.\n* The Youtube Transcripts downloads the subtitles from one or more given urls.\n* The usage reports pulls in your monthly [APIFY.com](https://www.apify.com?fpr=414q6) monthly spending and limits as a way to check your account.\n\n### How to use\n* This Apify Youtube MCP server allows any compatible MCP client to research youtube videos for any desired topic. An Apify account is required however to connect and use the service.\n* Connect your MCP client by following the n8n guidelines here - https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger/#integrating-with-claude-desktop\n* Alternatively, connect any n8n AI agent with the MCP client tool.\n* Try the following queries in your MCP client:\n  * \"what is MCP?\"\n  * \"How can I use MCP in n8n?\"\n  * \"How can I use Apify's official MCP server?\"\n\n### Requirements\n* [APIFY.com](https://www.apify.com?fpr=414q6) for Youtube Scraping. This is a paid service but there is a $5 free tier which is ample for this template.\n* MCP Client or Agent for usage such as Claude Desktop - https://claude.ai/download\n\n### Customising this workflow\n* Add as many [APIFY.com](https://www.apify.com?fpr=414q6) actors as required for your use-case or users. Consider using Apify's official MCP server for 4000+ available tools.\n* Remember to set the MCP server to require credentials before going to production and sharing this MCP server with others!"}, "typeVersion": 1}, {"id": "e11a8af0-0a53-4b9b-a499-4bbd956858f8", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [260, -360], "parameters": {"width": 280, "height": 240, "content": "[![](https://d2gdx5nv84sdx2.cloudfront.net/uploads/35gj8m4w/marketing_asset/banner/13734/Large_rectangle_336x280_Light__1_.png)](https://www.apify.com?fpr=414q6)"}, "typeVersion": 1}], "pinData": {}, "connections": {"Operation": {"main": [[{"node": "Apify Youtube Search", "type": "main", "index": 0}], [{"node": "Apify Youtube Transcripts", "type": "main", "index": 0}], [{"node": "Get Usage Metrics", "type": "main", "index": 0}]]}, "Usage Report": {"ai_tool": [[{"node": "Apify Youtube MCP Server", "type": "ai_tool", "index": 0}]]}, "Youtube Search": {"ai_tool": [[{"node": "Apify Youtube MCP Server", "type": "ai_tool", "index": 0}]]}, "Get Usage Limits": {"main": [[{"node": "Simplify Usage Metrics", "type": "main", "index": 0}]]}, "Get Usage Metrics": {"main": [[{"node": "Get Usage Limits", "type": "main", "index": 0}]]}, "Youtube Transcripts": {"ai_tool": [[{"node": "Apify Youtube MCP Server", "type": "ai_tool", "index": 0}]]}, "Apify Youtube Search": {"main": [[{"node": "Simplify Search Results", "type": "main", "index": 0}]]}, "Simplify Search Results": {"main": [[{"node": "Aggregate Search Results", "type": "main", "index": 0}]]}, "Apify Youtube Transcripts": {"main": [[{"node": "Simplify Transcript Results", "type": "main", "index": 0}]]}, "Simplify Transcript Results": {"main": [[{"node": "Aggregate Transcript Results", "type": "main", "index": 0}]]}, "When Executed by Another Workflow": {"main": [[{"node": "Operation", "type": "main", "index": 0}]]}}}