Gmail MCP 워크플로우 - AI로운 이메일 관리

• •Google 계정 및 Gmail API 인증 정보

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      "notes": "🚀 MCP TRIGGER\n\nThis is the entry point for AI interactions with Gmail. The MCP (Model Context Protocol) trigger allows AI models to call any of the connected Gmail tools based on user requests.\n\nKey Features:\n• Enables natural language Gmail commands\n• Routes AI requests to appropriate Gmail operations\n• Provides context-aware email management\n• Supports complex multi-step email workflows",
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      "notes": "📧 SEND EMAIL\n\nCompose and send emails through AI commands. The AI extracts recipient, subject, and message content from natural language requests.\n\nUse Cases:\n• \"Send an email to john@example.com about the meeting\"\n• \"Compose a follow-up email to the client\"\n• \"Send a thank you note to the team\"\n\nAI Parameters:\n• To: Email recipient(s)\n• Subject: Email subject line\n• Message: Email body content",
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      "notes": "📖 READ EMAIL\n\nRetrieve and read email content by message ID. Perfect for AI to analyze, summarize, or extract information from specific emails.\n\nUse Cases:\n• \"Read the latest email from Sarah\"\n• \"Get the content of message ID 123456\"\n• \"Show me the email about the project update\"\n\nReturns:\n• Full email content\n• Headers and metadata\n• Attachments information\n• Thread context",
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      "name": "Gmail - 읽지 않음 표시",
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      "notes": "👁️ MARK AS UNREAD\n\nMark emails as unread to ensure they get attention later. Useful for emails that need follow-up or further action.\n\nUse Cases:\n• \"Mark that important email as unread\"\n• \"I need to revisit this email later\"\n• \"Flag this message for follow-up\"\n\nBest Practices:\n• Use for emails requiring action\n• Combine with labels for better organization\n• Great for creating manual reminders",
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    {
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      "name": "Gmail - 라벨 추가",
      "type": "n8n-nodes-base.gmailTool",
      "notes": "🏷️ ADD LABELS\n\nOrganize emails by adding labels for better categorization and workflow management.\n\nUse Cases:\n• \"Label this email as 'Important'\"\n• \"Add 'Project-X' label to recent emails\"\n• \"Categorize this as 'Follow-up Required'\"\n\nAI Parameters:\n• Message_ID: Target email ID\n• Label_Names_or_IDs: Labels to apply\n\nTip: Use descriptive labels for AI-driven organization",
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        "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}",
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      "notes": "✅ MARK AS READ\n\nMark emails as read to maintain inbox organization and track processed messages.\n\nUse Cases:\n• \"Mark all emails from today as read\"\n• \"I've processed this email, mark it read\"\n• \"Clean up my unread messages\"\n\nAutomation Ideas:\n• Auto-mark newsletters as read\n• Mark processed support tickets\n• Bulk mark promotional emails",
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      "name": "Gmail - 라벨 제거",
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      "notes": "🗑️ REMOVE LABELS\n\nRemove labels from emails to update categorization or clean up organization system.\n\nUse Cases:\n• \"Remove 'Urgent' label from this email\"\n• \"Clean up old project labels\"\n• \"Update email categorization\"\n\nAI Parameters:\n• Message_ID: Target email ID\n• Label_Names_or_IDs: Labels to remove\n\nWorkflow Tip: Combine with add labels for label migration",
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        "messageId": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message_ID', ``, 'string') }}",
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        "content": "## 🚀 MCP TRIGGER EXPLANATION\n\n**What it does:**\nThis is the entry point for AI interactions with Gmail. The MCP (Model Context Protocol) trigger allows AI models to call any of the connected Gmail tools based on user requests.\n\n**Key Features:**\n• Enables natural language Gmail commands\n• Routes AI requests to appropriate Gmail operations\n• Provides context-aware email management\n• Supports complex multi-step email workflows\n\n**Example Commands:**\n\"Send an email to john@example.com\"\n\"Mark the latest email as important\"\n\"Read my unread messages\""
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      "name": "Sticky Note - 이메일 전송",
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        "content": "## 📧 SEND EMAIL\n\n**Purpose:**\nCompose and send emails through AI commands. The AI extracts recipient, subject, and message content from natural language requests.\n\n**Use Cases:**\n• \"Send an email to john@example.com about the meeting\"\n• \"Compose a follow-up email to the client\"\n• \"Send a thank you note to the team\"\n\n**AI Parameters:**\n• **To:** Email recipient(s)\n• **Subject:** Email subject line\n• **Message:** Email body content"
      },
      "typeVersion": 1
    },
    {
      "id": "763d55d6-9c23-4997-b877-594e4c89d81d",
      "name": "Sticky Note - 이메일 가져오기",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "width": 320,
        "height": 264,
        "content": "## 📖 READ EMAIL\n\n**Purpose:**\nRetrieve and read email content by message ID. Perfect for AI to analyze, summarize, or extract information from specific emails.\n\n**Use Cases:**\n• \"Read the latest email from Sarah\"\n• \"Get the content of message ID 123456\"\n• \"Show me the email about the project update\"\n\n**Returns:**\n• Full email content\n• Headers and metadata\n• Attachments information\n• Thread context"
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        "content": "## 👁️ MARK AS UNREAD\n\n**Purpose:**\nMark emails as unread to ensure they get attention later. Useful for emails that need follow-up or further action.\n\n**Use Cases:**\n• \"Mark that important email as unread\"\n• \"I need to revisit this email later\"\n• \"Flag this message for follow-up\"\n\n**Best Practices:**\n• Use for emails requiring action\n• Combine with labels for better organization\n• Great for creating manual reminders"
      },
      "typeVersion": 1
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      "name": "Sticky Note - 라벨 추가",
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      "position": [
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      "parameters": {
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        "content": "## 🏷️ ADD LABELS\n\n**Purpose:**\nOrganize emails by adding labels for better categorization and workflow management.\n\n**Use Cases:**\n• \"Label this email as 'Important'\"\n• \"Add 'Project-X' label to recent emails\"\n• \"Categorize this as 'Follow-up Required'\"\n\n**AI Parameters:**\n• **Message_ID:** Target email ID\n• **Label_Names_or_IDs:** Labels to apply\n\n**Tip:** Use descriptive labels for AI-driven organization"
      },
      "typeVersion": 1
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    {
      "id": "835c248d-e384-419b-a22f-9e590afa56c6",
      "name": "Sticky Note - 읽음 표시",
      "type": "n8n-nodes-base.stickyNote",
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        "content": "## ✅ MARK AS READ\n\n**Purpose:**\nMark emails as read to maintain inbox organization and track processed messages.\n\n**Use Cases:**\n• \"Mark all emails from today as read\"\n• \"I've processed this email, mark it read\"\n• \"Clean up my unread messages\"\n\n**Automation Ideas:**\n• Auto-mark newsletters as read\n• Mark processed support tickets\n• Bulk mark promotional emails"
      },
      "typeVersion": 1
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    {
      "id": "faae81d9-bf04-4b66-8bb4-649b22f6cd5b",
      "name": "Sticky Note - 라벨 제거",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "height": 264,
        "content": "## 🗑️ REMOVE LABELS\n\n**Purpose:**\nRemove labels from emails to update categorization or clean up organization system.\n\n**Use Cases:**\n• \"Remove 'Urgent' label from this email\"\n• \"Clean up old project labels\"\n• \"Update email categorization\"\n\n**AI Parameters:**\n• **Message_ID:** Target email ID\n• **Label_Names_or_IDs:** Labels to remove\n\n**Workflow Tip:** Combine with add labels for label migration"
      },
      "typeVersion": 1
    },
    {
      "id": "f2da52ae-39ce-40b7-a162-4c4cb369e7f4",
      "name": "Sticky Note - 개요",
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      "parameters": {
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        "content": "## 🎯 WORKFLOW OVERVIEW\n\n**Gmail MCP - AI-Powered Email Management**\n\nThis workflow provides a complete toolkit for intelligent email management through AI interactions using the Model Context Protocol (MCP).\n\n**Core Capabilities:**\n• 📧 Send personalized emails\n• 📖 Read and analyze email content\n• 🏷️ Organize with smart labeling\n• ✅ Manage read/unread status\n• 🤖 Natural language commands\n\n**Getting Started:**\n1. Ensure Gmail OAuth2 is configured\n2. Test each tool individually\n3. Use natural language with your AI\n4. Monitor workflow execution logs"
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