Construire un serveur MCP YouTube personnalisé
Avancé
Ceci est unBuilding Blocks, AI, Marketingworkflow d'automatisation du domainecontenant 20 nœuds.Utilise principalement des nœuds comme Set, Switch, Aggregate, HttpRequest, McpTrigger, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. Construire un serveur MCP personnalisé pour YouTube
Prérequis
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
Nœuds utilisés (20)
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "aef123fd-3481-4708-ae85-684529e4f05f",
"name": "Lorsqu'exécuté par un autre 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": "Opération",
"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": "Note adhésive",
"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": "Note adhésive1",
"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": "Note adhésive3",
"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": {
"id": "SV9BDKc1cRbZBeoL",
"name": "Apify.com (personal token)"
}
},
"executeOnce": true,
"typeVersion": 4.2
},
{
"id": "ea57908b-f927-466c-86ff-2265a5ee001a",
"name": "Simplifier les résultats de recherche",
"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": "Simplifier les résultats de transcription",
"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": "Agréger les résultats de recherche",
"type": "n8n-nodes-base.aggregate",
"position": [
1260,
100
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "response"
},
"typeVersion": 1
},
{
"id": "53f6c967-bca1-4322-9939-7e0078ef99ed",
"name": "Agréger les résultats de transcription",
"type": "n8n-nodes-base.aggregate",
"position": [
1260,
300
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "response"
},
"typeVersion": 1
},
{
"id": "04590cf0-38e5-4113-abb8-14c141524b1c",
"name": "Simplifier les métriques d'utilisation",
"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": "Obtenir les limites d'utilisation",
"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": "Rapport d'utilisation",
"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": "Obtenir les métriques d'utilisation",
"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": "Note adhésive2",
"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": "Note adhésive4",
"type": "n8n-nodes-base.stickyNote",
"position": [
260,
-360
],
"parameters": {
"width": 280,
"height": 240,
"content": "[](https://www.apify.com?fpr=414q6)"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
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}
}Foire aux questions
Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Blocs de construction, Intelligence Artificielle, Marketing
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Informations sur le workflow
Niveau de difficulté
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Nombre de nœuds20
Catégorie3
Types de nœuds8
Description de la difficulté
Auteur
Jimleuk
@jimleukFreelance consultant based in the UK specialising in AI-powered automations. I work with select clients tackling their most challenging projects. For business enquiries, send me an email at hello@jimle.uk LinkedIn: https://www.linkedin.com/in/jimleuk/ X/Twitter: https://x.com/jimle_uk
Liens externes
Voir sur n8n.io →
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