B2B Lead Enrichment

Remote MCP server to enrich company profiles with structured B2B data and confidence scores.

我該用這個嗎

品質與安全性

A
說明品質
100%
結構描述完整度
100%
命名品質
80%
汙染風險
100%
權限相符程度
100%
協定合規性
100%

根據工具定義與協定合規性的自動化分析。

上下文成本

~502Token(工具定義)
~5.6 KB典型回應大小
極小的注意力影響(128k 上下文的 0.39%)

這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。

安裝

一鍵安裝

將以下內容加入你的 `claude_desktop_config.json` 檔案:

{
  "mcpServers": {
    "lead-enrichment-mcp": {
      "url": "https://lead-enrichment-mcp.agent-infra.workers.dev/mcp"
    }
  }
}

遠端端點

https://lead-enrichment-mcp.agent-infra.workers.dev/mcpstreamable-http

它能做什麼

工具清單

工具(1)

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🟢enrich_lead(domain, attributes, requiredFields)

Enrich a B2B company profile with structured firmographic, technographic, intent, and contact data. This tool should be called when an AI agent needs to gather detailed information about a company before crafting a personalized outreach, generating a lead score, or making a sales recommendation.

輸入結構描述

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "title": "Domain",
      "description": "The company domain to enrich (e.g., \"stripe.com\")."
    },
    "attributes": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Attributes",
      "description": "Which data attributes to include. Allowed values: firmographic, technographic, intent, contacts."
    },
    "requiredFields": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Required Fields",
      "description": "Specific fields that must be present in the response."
    }
  },
  "required": [
    "domain"
  ]
}

輸出結構描述

{
  "type": "object",
  "properties": {
    "companyName": {
      "type": "string",
      "description": "Official legal name of the enriched company."
    },
    "industry": {
      "type": "string",
      "description": "Primary industry classification."
    },
    "employeeCount": {
      "type": "string",
      "description": "Estimated employee count range (e.g., \"5000+\")."
    },
    "revenue": {
      "type": "string",
      "description": "Estimated annual revenue range (e.g., \"$1B+\")."
    },
    "technologies": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Technology stack associated with the company."
    },
    "intentSignals": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Signals showing buying intent or strategic initiatives."
    },
    "contacts": {
      "type": "array",
      "description": "Key contacts identified at the company.",
      "items": {
        "type": "object",
        "properties": {
          "name": {
            "type": "string"
          },
          "title": {
            "type": "string"
          },
          "department": {
            "type": "string"
          },
          "linkedin": {
            "type": "string"
          }
        },
        "required": [
          "name",
          "title",
          "department"
        ]
      }
    },
    "confidenceScore": {
      "type": "number",
      "minimum": 0,
      "maximum": 1,
      "description": "Confidence score from 0 to 1."
    },
    "enrichedAt": {
      "type": "string",
      "format": "date-time",
      "description": "ISO 8601 timestamp when this enrichment was performed."
    },
    "insights": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Actionable semantic insights derived from the data."
    }
  },
  "required": [
    "companyName",
    "industry",
    "employeeCount",
    "revenue",
    "technologies",
    "intentSignals",
    "confidenceScore",
    "enrichedAt",
    "insights"
  ]
}

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