Jimleuk This workflow corresponds to n8n.io template #3637 — we link there as the canonical source.
This workflow follows the Execute Workflow Trigger → 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 →
{
"meta": {
"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*/ $fromAI('query', ``, 'string') }}",
"operation": "youtube_search"
},
"schema": [
{
"id": "operation",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "operation",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "query",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "query",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "urls",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "urls",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.1
},
{
"id": "42cb7bd5-bdb4-40d4-9f69-d49fe066aaa2",
"name": "Apify Youtube Search",
"type": "n8n-nodes-base.httpRequest",
"position": [
860,
100
],
"parameters": {
"url": "https://api.apify.com/v2/acts/streamers~youtube-scraper/run-sync-get-dataset-items",
"options": {},
"jsonBody": "={{\n{\n \"searchQueries\": [$json.query],\n \"maxResultStreams\": 0,\n \"maxResults\": 5\n}\n}}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"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": "aed4a7c8-f41e-4e14-90c9-4e298465e7f4",
"name": "Apify Youtube Transcripts",
"type": "n8n-nodes-base.httpRequest",
"maxTries": 2,
"position": [
860,
300
],
"parameters": {
"url": "https://api.apify.com/v2/acts/streamers~youtube-scraper/run-sync-get-dataset-items",
"options": {},
"jsonBody": "={{\n{\n \"downloadSubtitles\": true,\n \"hasCC\": false,\n \"hasLocation\": false,\n \"hasSubtitles\": false,\n \"is360\": false,\n \"is3D\": false,\n \"is4K\": false,\n \"isBought\": false,\n \"isHD\": false,\n \"isHDR\": false,\n \"isLive\": false,\n \"isVR180\": false,\n \"maxResultStreams\": 0,\n \"maxResults\": 1,\n \"maxResultsShorts\": 0,\n \"preferAutoGeneratedSubtitles\": false,\n \"saveSubsToKVS\": false,\n \"startUrls\": $json.urls.split(',').map(url => ({\n \"url\": url,\n \"method\": \"GET\"\n })),\n \"subtitlesFormat\": \"plaintext\",\n \"subtitlesLanguage\": \"en\"\n}\n}}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
},
"retryOnFail": true,
"typeVersion": 4.2,
"waitBetweenTries": 5000
},
{
"id": "a73c672c-c36a-4ac0-bb0f-a87ed4dd9329",
"name": "Simplify Transcript Results",
"type": "n8n-nodes-base.set",
"position": [
1060,
300
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"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": "7501fe60-f43d-42fe-9087-6f70a1cf12af",
"name": "transcript",
"type": "string",
"value": "={{ $json.subtitles[0].plaintext }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "c62ef6f9-6a81-4f00-aa68-433e3378e6ff",
"name": "Aggregate Search Results",
"type": "n8n-nodes-base.aggregate",
"position": [
1260,
100
],
"parameters": {
"options": {},
"aggregate": "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": "={{ $json.data.current.monthlyUsageUsd.toFixed(2) }} of {{ $json.data.limits.maxMonthlyUsageUsd.toFixed(2) }}"
},
{
"id": "112fb245-b35b-45ce-ad29-e05d0f352010",
"name": "ACTOR_COMPUTE_UNITS",
"type": "number",
"value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.ACTOR_COMPUTE_UNITS.amountAfterVolumeDiscountUsd }}"
},
{
"id": "4b451afb-eba7-49c6-8c3c-7279fb315ec6",
"name": "DATASET_READS",
"type": "number",
"value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_READS.amountAfterVolumeDiscountUsd }}"
},
{
"id": "c002234c-955e-41f4-a27f-7f031ae6111e",
"name": "DATASET_TIMED_STORAGE_GBYTE_HOURS",
"type": "number",
"value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_TIMED_STORAGE_GBYTE_HOURS.amountAfterVolumeDiscountUsd }}"
},
{
"id": "0108085d-1bb4-44c5-bc3b-845a7206abfe",
"name": "DATASET_WRITES",
"type": "number",
"value": "={{ $('Get Usage Metrics').item.json.data.monthlyServiceUsage.DATASET_WRITES.amountAfterVolumeDiscountUsd }}"
},
{
"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": {
"name": "<your credential>"
}
},
"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": {
"name": "<your credential>"
}
},
"typeVersion": 4.2
},
{
"id": "90da2c29-a1fc-4772-a271-602cdd14b679",
"name": "Apify Youtube MCP Server",
"type": "@n8n/n8n-nodes-langchain.mcpTrigger",
"position": [
-300,
60
],
"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://www.apify.com?fpr=414q6)"
},
"typeVersion": 1
}
],
"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
}
]
]
}
}
}
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.
httpHeaderAuth
Pro
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About this workflow
Youtube videos are a great source of new and updated information on a variety of cutting edge developments but they''re are not always simple to understand and lengthy videos may take too much time. Using this MCP server, you extract and feed their transcripts for your AI agents…
Source: https://n8n.io/workflows/3637/ — original creator credit. Request a take-down →
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