AI驱动的线索丰富Telegram和Explorium MCP

• •Telegram Bot Token
• •可能需要目标 API 的认证凭证
• •OpenAI API Key
• •PostgreSQL 数据库连接信息

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  "name": "AI 驱动的线索丰富 Telegram 和 Explorium MCP",
  "tags": [],
  "nodes": [
    {
      "id": "27c106c6-24a4-4165-babf-05d1bfffcd7a",
      "name": "AI 线索丰富代理",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {
        "text": "={{ $json.message.text }}",
        "options": {
          "systemMessage": "# Elite Lead Enrichment & Email Sequence Generator\n\nYou are the world's premier lead enrichment specialist and cold outreach strategist for DaeX AI. Your expertise in AI automation market research is unparalleled, and you consistently uncover high-value insights that drive conversions.\n\n## Step 1: Collect Lead Information\n\nRequest the following information from the user:\n\n**Required Fields:**\n- Business Name: [Company name]\n- Domain: [Website URL if available]\n- Email: [Any known email address]\n- Contact Name: [Key decision maker if known]\n\n## Step 2: Research Strategy\n\n**Tool Usage:**\n- **MCP Tool**: Primary data gathering using company name\n- **Tavily Tool**: Targeted web searches for specific intelligence\n\n**Search Queries:**\n- \"[Company Name] LinkedIn profile\"\n- \"[Company Name] recent news funding growth\"\n- \"[Contact Name] [Company Name] LinkedIn executive\"\n- \"[Company Name] technology stack automation tools\"\n- \"[Company Name] industry challenges pain points\"\n- \"[Company Name] competitors market position\"\n\n## Step 3: Deep Intelligence Gathering\n\nResearch Focus Areas:\n- Business model, revenue streams, growth initiatives\n- Technology adoption and digital transformation status\n- Market positioning and competitive landscape\n- Recent company news, funding, and social presence\n- Decision maker background, role, and LinkedIn activity\n- Specific automation opportunities in their workflows\n- Industry-specific pain points and challenges\n\n## Step 4: Email Sequence Structure\n\nCreate a strategic 4-email sequence:\n\n**Email 1**: Problem Identification + Soft Introduction\n**Email 2**: Specific Use Case/Automation Opportunity\n**Email 3**: Social Proof + ROI Example\n**Email 4**: Clear CTA with Low-Commitment Next Step\n\n## Step 5: Output Requirements\n\n**CRITICAL**: Output as properly structured JSON with individual key-value pairs. Do NOT wrap everything in a single text field.\n\n```json\n{\n  \"companyName\": \"string\",\n  \"domain\": \"string\",\n  \"industry\": \"string\",\n  \"companySize\": \"string\",\n  \"revenue\": \"string\",\n  \"fundingStage\": \"string\",\n  \"fundingAmount\": \"string\",\n  \"employeeCount\": \"string\",\n  \"headquarters\": \"string\",\n  \"technologies\": [\"tech1\", \"tech2\"],\n  \"linkedinUrl\": \"string\",\n  \"twitterUrl\": \"string\",\n  \"contactName\": \"string\",\n  \"contactTitle\": \"string\",\n  \"contactEmail\": \"string\",\n  \"contactLinkedin\": \"string\",\n  \"leadScore\": \"number (1-100)\",\n  \"priorityLevel\": \"High/Medium/Low\",\n  \"painPoints\": [\"pain1\", \"pain2\"],\n  \"automationOpportunities\": [\"opp1\", \"opp2\"],\n  \"recentCompanyNews\": \"string\",\n  \"competitorAnalysis\": \"string\",\n  \"marketPosition\": \"string\",\n  \"emailSequence\": {\n    \"email1\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    },\n    \"email2\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    },\n    \"email3\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    },\n    \"email4\": {\n      \"subject\": \"string\",\n      \"body\": \"string\",\n      \"callToAction\": \"string\"\n    }\n  },\n  \"recommendedStrategy\": \"string\",\n  \"aiInsights\": \"string\",\n  \"nextSteps\": [\"step1\", \"step2\"],\n  \"followUpTimeline\": \"string\",\n  \"enrichedAt\": \"ISO timestamp\",\n  \"researchSummary\": \"string\",\n  \"automationRecommendations\": [\"rec1\", \"rec2\"]\n}\n```\n\n**Tone Guidelines:**\n- Professional yet conversational\n- Focus on measurable business impact\n- Use industry-specific terminology\n- Emphasize competitive advantage and efficiency\n- Reference specific technologies when identified\n- Maintain authoritative but approachable voice\n\nNow provide the lead information to begin enrichment:\n\n**Business Name:**\n**Domain:**\n**Email:**\n**Contact Name:**"
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      "typeVersion": 2
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    {
      "id": "218ba438-70a9-47e5-9998-926dc1a3ff1f",
      "name": "OpenAI GPT-4",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -300,
        700
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o"
        },
        "options": {
          "maxTokens": 4000,
          "temperature": 0.3
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "3a88ee73-7b4f-4907-b1d0-b1fe81b645d4",
      "name": "Explorium B2B 数据",
      "type": "@n8n/n8n-nodes-langchain.mcpClientTool",
      "position": [
        640,
        80
      ],
      "parameters": {
        "sseEndpoint": "mcp.explorium.ai/sse",
        "authentication": "headerAuth"
      },
      "typeVersion": 1
    },
    {
      "id": "d6b05d01-1d79-4030-8a1d-e27726ac5567",
      "name": "研究工具信息",
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      "position": [
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      "parameters": {
        "color": 4,
        "width": 320,
        "height": 540,
        "content": "## 🔍 研究工具"
      },
      "typeVersion": 1
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    {
      "id": "9b1e621c-52e0-496f-b681-f10cbb5da336",
      "name": "AI 引擎信息",
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        "content": "## 🧠 AI 引擎"
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    },
    {
      "id": "c3fdabc4-fd4f-41e6-be22-0b32073f9229",
      "name": "Tavily 网络情报",
      "type": "n8n-nodes-base.httpRequestTool",
      "position": [
        520,
        60
      ],
      "parameters": {
        "url": "https://api.tavily.com/search",
        "method": "POST",
        "options": {},
        "jsonBody": "{\n  \"query\": \"{{ $parameter.query }}\",\n  \"auto_parameters\": true,\n  \"topic\": \"general\",\n  \"search_depth\": \"advanced\",\n  \"chunks_per_source\": 5,\n  \"max_results\": 3,\n  \"include_answer\": true,\n  \"include_raw_content\": true,\n  \"include_images\": false,\n  \"include_domains\": [\"linkedin.com\", \"crunchbase.com\", \"bloomberg.com\"],\n  \"exclude_domains\": [\"pinterest.com\", \"instagram.com\"]\n}",
        "sendBody": true,
        "sendHeaders": true,
        "specifyBody": "json",
        "toolDescription": "Search the web for real-time company intelligence and market data",
        "headerParameters": {
          "parameters": [
            {
              "name": "Authorization",
              "value": "Bearer YOUR_TAVILY_API_KEY"
            },
            {
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              "value": "application/json"
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      "typeVersion": 4.2
    },
    {
      "id": "54989a4a-9130-4d9e-ad1f-8ac7f8cc2064",
      "name": "对话记忆",
      "type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
      "position": [
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      ],
      "parameters": {
        "sessionKey": "={{ $json.message.from.id + '_lead_enrichment' }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.3
    },
    {
      "id": "3a9b4ace-9bd2-4a88-8cd6-453a1c4b2d0b",
      "name": "Telegram 输入",
      "type": "n8n-nodes-base.telegramTrigger",
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      "webhookId": "WEBHOOK_WILL_BE_GENERATED",
      "parameters": {
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      "parameters": {
        "text": "={{ $json.output }}",
        "chatId": "={{ $item(\"0\").$node[\"Telegram Input\"].json[\"message\"][\"chat\"][\"id\"] }}",
        "additionalFields": {
          "parse_mode": "Markdown",
          "appendAttribution": false
        }
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    {
      "id": "ef8399ba-9702-499f-baa9-01d4fc7db6a6",
      "name": "🚀 工作流概览",
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      "position": [
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      "parameters": {
        "color": 5,
        "width": 400,
        "height": 880,
        "content": "## 🚀 AI 线索丰富与邮件序列生成器"
      },
      "typeVersion": 1
    },
    {
      "id": "8c79237c-0f86-45c9-874f-592d385f06df",
      "name": "⚙️ 设置指南",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 6,
        "width": 300,
        "height": 400,
        "content": "## ⚙️ 配置步骤"
      },
      "typeVersion": 1
    }
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  "active": false,
  "pinData": {},
  "settings": {
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  "versionId": "72e04d2e-8435-454e-8f42-5bf3bc7a9e06",
  "connections": {
    "OpenAI GPT-4": {
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          {
            "node": "AI Lead Enrichment Agent",
            "type": "ai_languageModel",
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    "Telegram Input": {
      "main": [
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            "node": "AI Lead Enrichment Agent",
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            "index": 0
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    },
    "Explorium B2B Data": {
      "ai_tool": [
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          {
            "node": "AI Lead Enrichment Agent",
            "type": "ai_tool",
            "index": 0
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        ]
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    "Conversation Memory": {
      "ai_memory": [
        [
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            "node": "AI Lead Enrichment Agent",
            "type": "ai_memory",
            "index": 0
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        ]
      ]
    },
    "Tavily Web Intelligence": {
      "ai_tool": [
        [
          {
            "node": "AI Lead Enrichment Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "AI Lead Enrichment Agent": {
      "main": [
        [
          {
            "node": "Telegram Response",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}