n8n-workflows/workflows/3637_workflow_3637.json
2025-05-14 11:58:29 +03:00

869 lines
28 KiB
JSON

{
"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,
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],
"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": [
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],
"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": {
"id": "SV9BDKc1cRbZBeoL",
"name": "Apify.com (personal token)"
}
},
"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": {
"id": "SV9BDKc1cRbZBeoL",
"name": "Apify.com (personal token)"
}
},
"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": {
"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": [
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],
"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": [
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