使用Explorium MCP和GPT-4.1丰富Monday.com潜在客户并起草个性化邮件

• •Google 账号和 Gmail API 凭证
• •HTTP Webhook 端点（n8n 会自动生成）
• •OpenAI API Key

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  "nodes": [
    {
      "id": "ebe35d8a-7a78-4a7d-ad60-9f294936266a",
      "name": "Company Researcher",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "parameters": {
        "text": "=Company name: {{ $json.company_name }}\nContact name: {{ $json.contact_name }}\nEmail address: {{ $json.email_address }}\nSpecial Comments from Salesperson: {{ $json.comments }}",
        "options": {
          "maxIterations": 12,
          "systemMessage": "=You are a research analyst helping a sales agent write a highly personalized inbound email. Your job is to generate a detailed research brief that explains:\n\n1. **What the company does**\n2. **What the recent business event is**, and why it's significant\n3. **How Automation might reflect on the company’s priorities, pain points, or growth goals**\n4. Any additional company or contact context that might be useful for crafting a relevant sales message\n\n## Guidelines:\n- Your response should be **detailed, structured, and accurate**\n- You are writing **for another AI**, so don't hold back on context — more is better\n- You can assume the contact already  know about 82Labs and it's capabilities, and more interested in knowing how to improve his KPIs and company using it's services.\n- Write in **natural language**, using clear, concise, informative sentences — not marketing fluff or speculation\n- Keep your tone objective and analytical\n- Avoid repeating generic phrases like “the company is innovative” unless supported by facts\n\n## Inputs:\n- From user prompt\n- From Explorium MCP tools\n\n## Output Structure:\nReturn your findings in 2-3 clear paragraphs. The first paragraph should describe the **main use case to solve in the company in detail** and explain why it may be relevant. The second should summarize what the **company does** and any other useful GTM signals (size, growth stage, recent changes, priorities, etc.).\n\nNow generate the research summary.\n"
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        "content": "## Reaserch Agent\nThis agent uses the [Explorium MCP](https://www.explorium.ai/mcp) and ChatGPT 4.1 to research the company and the contact"
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      "typeVersion": 1
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      "parameters": {
        "color": 5,
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        "height": 1128,
        "content": "# AI Lead Enrichment for Monday.com with Explorium MCP and GPT-4.1\n\n## Created by: [Elay Guez](https://www.linkedin.com/in/elay-g)\n\n## Overview\nThis workflow automatically enriches company data when new leads are added to Monday.com and drafts personalized inbound emails suggesting AI solutions for every new lead.\n\n## Features\n- 🔍 **Company Research**: Uses [Explorium MCP](https://www.explorium.ai/mcp) for deep company intelligence\n- ✉️ **Email Generation**: Creates personalized outreach with GPT-4.1\n- 📊 **CRM Enrichment**: Adds AI solution recommendations to your Monday.com board\n- 🚀 **Fully Automated**: Triggers instantly when new leads arrive\n\n## Quick Setup\n1. **Connect** Monday.com Webhook using the \"Respond to Webhook\" node\n2. **Deactivate** the \"Respond to Webhook\" node after connection\n3. **Update** the context in System Messages for all AI Agents:\n   - Your company name and services\n   - Value proposition\n   - Target market details\n4. **Test** with a sample lead\n5. **Activate** and enjoy automated lead enrichment! 🎯\n\n## Requirements\n- Monday.com board with lead data\n- Explorium MCP API access\n- OpenAI API key (GPT-4.1)\n- Gmail account for drafts"
      },
      "typeVersion": 1
    },
    {
      "id": "33055d00-d826-4f74-8b87-20ebcbf09dfa",
      "name": "ChatGPT 4.1 - 2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1200,
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          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1",
          "cachedResultName": "gpt-4.1"
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        "options": {}
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      "name": "ChatGPT 4.1 - 1",
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      "name": "Explorium MCP",
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
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        "sseEndpoint": "https://mcp.explorium.ai/sse",
        "authentication": "headerAuth"
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      "credentials": {
        "httpHeaderAuth": {
          "id": "7IpyObtiR0gosEZX",
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      "name": "Email Writer",
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        "text": "=### Context:\n\n## company data: {{ $('Company Researcher').first().json.output }}\n\n## contact full name: {{ $('Edit Fields').item.json.contact_name }}\n\n## Salesman comments: {{ $('Edit Fields').item.json.comments }}\n",
        "options": {
          "systemMessage": "You are a B2B inbound email assistant.\n\nYour task is to write a short, personalized inbound email for an inbound lead (under 120 words) that sells a solution specificly to the company. This email will be sent to a general marketing, growth, or data contact — no specific prospect information is available.\n\n## About 82Labs (Use as context — DO NOT paste directly):\n82 Labs delivers complex fullstack applications for web and mobile, powered by cutting-edge automation technologies including n8n and LangGraph. Official n8n lecturers with enterprise-grade expertise.\n\nIf relevant, you may mention that they can explore our website (https://www.82labs.io).\n\nDont forget to always end with a call to action in setting up some sort of call or meeting to talk further\n\n## Instructions:\n- Reference the event to establish relevance and timing\n- Briefly describe what the company does (from the input)\n- Weave in 82Labs’s value and how it is applicable to their business priorities\n- Suggest two AI Agents/ AI powered solutions based on your knoleadge\n- End with a warm, soft CTA\n- Make it personal, write \"Hi {first name}\" instead of \"Hello Team\". fill in the first name\n- The salesperson name is \"Elay\"\n- Use the thinking tool\n\nNow write the email."
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      "webhookId": "5e663ad9-ee30-45ea-8ef0-24e8244e8df1",
      "parameters": {
        "message": "={{ $json.output.email_content }}",
        "options": {
          "sendTo": "={{ $('Edit Fields').item.json.email_address }}"
        },
        "subject": "={{ $json.output.email_subject }}",
        "resource": "draft"
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        "gmailOAuth2": {
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          "name": "Elay - elayguez Gmail"
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      "name": "Get item",
      "type": "n8n-nodes-base.mondayCom",
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        "limit": 1,
        "boardId": "2034551132",
        "columnId": "name",
        "resource": "boardItem",
        "operation": "getByColumnValue",
        "columnValue": "={{ $json.body.event.pulseName }}"
      },
      "credentials": {
        "mondayComApi": {
          "id": "A19PAalBfc58kjDP",
          "name": "Monday.com account"
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        "jsonOutput": "={\n  \"company_name\": \"{{ $json.name }}\",\n  \"contact_name\": \"{{ $json.column_values[5].text }}\",\n  \"email_address\": \"{{ $json.column_values[6].text }}\",\n  \"comments\": \"{{ $json.column_values[10].text }}\"\n}\n"
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      "position": [
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      "webhookId": "76e1e0a6-495e-4ab6-ba56-b5746cbc4727",
      "parameters": {
        "path": "76e1e0a6-495e-4ab6-ba56-b5746cbc4727",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
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        "height": 400,
        "content": "## Draft Email Agent\nThis agent uses ChatGPT 4.1 to draft a personal inbound email"
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    {
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      "disabled": true,
      "position": [
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      "parameters": {
        "width": 752,
        "height": 272,
        "content": "## Trigger Workflow and Organize Data\nUsing Monday.com webhook"
      },
      "typeVersion": 1
    },
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      "id": "44f650ee-e6c6-4810-a911-ce5c7c039c30",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "disabled": true,
      "position": [
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      ],
      "parameters": {
        "width": 784,
        "height": 400,
        "content": "## CRM Enrichment Agent\nThis agent uses ChatGPT 4.1 to enrich Monday.com CRM"
      },
      "typeVersion": 1
    },
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      "id": "da610c7d-25f3-4e84-afda-ab2a8343bf13",
      "name": "ChatGPT 4.1 - 3",
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      "position": [
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          "mode": "list",
          "value": "gpt-4.1",
          "cachedResultName": "gpt-4.1"
        },
        "options": {}
      },
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          "id": "KFAwjhWN2Hk6Vvhy",
          "name": "General - OpenAi"
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      "typeVersion": 1.2
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      "id": "fffff053-8555-4842-b113-3476fb3526a0",
      "name": "CRM Enrichment",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "parameters": {
        "text": "=### Context:\n\n## company data: {{ $('Company Researcher').first().json.output }}\n\n## contact full name: {{ $('Edit Fields').item.json.contact_name }}\n\n## Salesman comments: {{ $('Edit Fields').item.json.comments }}\n",
        "options": {
          "systemMessage": "You are a B2B professional assistant.\n\nYour task is to write a short, two sentences summary on the company and cotact, with options on how 82 labs can help him)\n\n## About 82Labs (Use as context):\n82 Labs delivers complex fullstack applications for web and mobile, powered by cutting-edge automation technologies including n8n and LangGraph. Official n8n lecturers with enterprise-grade expertise.\n\n## Instructions:\n- Briefly describe what the company does (from the input)\n- Suggest two AI Agents/ AI powered solutions based on your knoleadge\n- Use the thinking tool\n\nNow write the CRM Enrichement summary"
        },
        "promptType": "define",
        "hasOutputParser": true
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      "typeVersion": 2.2
    },
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      "type": "n8n-nodes-base.errorTrigger",
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      "disabled": true,
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        "height": 272,
        "content": "## Error Trigger\nSend an email to Admin"
      },
      "typeVersion": 1
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      "name": "Think - 3",
      "type": "@n8n/n8n-nodes-langchain.toolThink",
      "position": [
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      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "d8469273-1088-4574-b2ec-20538c09f415",
      "name": "Send a message",
      "type": "n8n-nodes-base.gmail",
      "position": [
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      ],
      "webhookId": "1850143d-bdb3-42a2-86e3-ac629b6e501f",
      "parameters": {
        "sendTo": "elay.g@82labs.io",
        "message": "={{ $json.output.email_content }}",
        "options": {},
        "subject": "=Error in the work"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "ECo0cbrYhI5s4Btm",
          "name": "Elay - elayguez Gmail"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "6332c3bb-5f42-42c3-9b76-713d01f75797",
      "name": "Add an update to an item - 1",
      "type": "n8n-nodes-base.mondayCom",
      "position": [
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      ],
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        "value": "=\"\nDraft email from AI Agent was generated!\n\"",
        "itemId": "={{ $('Get item').item.json.id }}",
        "resource": "boardItem",
        "operation": "addUpdate"
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        "mondayComApi": {
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          "name": "Monday.com account"
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      "name": "Add an update to an item - 2",
      "type": "n8n-nodes-base.mondayCom",
      "position": [
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      ],
      "parameters": {
        "value": "=\"\nAI Agent Data Enrichement:\n\n{{ $json.output.crm_summary }}\n\n\n\"",
        "itemId": "={{ $('Get item').item.json.id }}",
        "resource": "boardItem",
        "operation": "addUpdate"
      },
      "credentials": {
        "mondayComApi": {
          "id": "A19PAalBfc58kjDP",
          "name": "Monday.com account"
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      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 3,
        "width": 448,
        "content": "## Note: Please update the context in the System Messages for all of the Agents"
      },
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      "name": "Structured Output Parser - 2",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
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      ],
      "parameters": {
        "jsonSchemaExample": "{\n\t\"email_subject\": \"\",\n\t\"email_content\": \"\"\n}"
      },
      "typeVersion": 1.3
    },
    {
      "id": "3f4306ac-891a-4ae0-80e9-2dd1f033de46",
      "name": "Structured Output Parser - 3",
      "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
      "position": [
        -864,
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      ],
      "parameters": {
        "jsonSchemaExample": "{\n\t\"crm_summary\": \"\"\n}"
      },
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    }
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