自定义 YouTube MCP 서버 구축
고급
이것은Building Blocks, AI, Marketing분야의자동화 워크플로우로, 20개의 노드를 포함합니다.주로 Set, Switch, Aggregate, HttpRequest, McpTrigger 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. 사용자 정의 YouTube MCP 서버 구축
사전 요구사항
- •대상 API의 인증 정보가 필요할 수 있음
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "aef123fd-3481-4708-ae85-684529e4f05f",
"name": "다른 워크플로우에 의해 실행 시",
"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": "작업",
"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": "스티커 메모",
"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": "스티커 메모1",
"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": "스티커 메모3",
"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": "검색 결과 단순화",
"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": "대본 결과 단순화",
"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": "검색 결과 통합",
"type": "n8n-nodes-base.aggregate",
"position": [
1260,
100
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "response"
},
"typeVersion": 1
},
{
"id": "53f6c967-bca1-4322-9939-7e0078ef99ed",
"name": "대본 결과 통합",
"type": "n8n-nodes-base.aggregate",
"position": [
1260,
300
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "response"
},
"typeVersion": 1
},
{
"id": "04590cf0-38e5-4113-abb8-14c141524b1c",
"name": "사용 메트릭 단순화",
"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": "사용 한도 확인",
"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": "사용 보고서",
"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": "사용 메트릭 가져오기",
"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": "스티커 메모2",
"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": "스티커 메모4",
"type": "n8n-nodes-base.stickyNote",
"position": [
260,
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"parameters": {
"width": 280,
"height": 240,
"content": "[](https://www.apify.com?fpr=414q6)"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
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}
}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 빌딩 블록, 인공지능, 마케팅
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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저자
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
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