Lead Scoring CalculatorをChatGPTとClaudeに接続

• 01 / 02スコアリングの重み付けを監査する
• 02 / 02リード選別の自動化について

最速日

535ms

最遅日

922ms

14日間の傾向

遅延傾向+16%

Lead Scoring Calculator Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Lead Scoring Calculator capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "lead-scoring-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Lead Scoring CalculatorをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  マーケティングマネージャー

  獲得したリードの質を定量的に評価し、営業へ渡すタイミングを最適化したい方。

• 02

  セールスマネージャー

  営業リソースを成約確度の高い案件に集中させ、パイプラインの効率を高めたい方。

• 03

  セールスオペレーション担当者

  スコアリング基準を自動化し、データに基づいた一貫性のあるリード管理を実現したい方。

• 01

  What kind of data does this MCP use for scoring?

  It uses firmographic and behavioral data points, such as company size, industry, and job title, to calculate a score.

• 02

  Can I change the scoring weights?

  Yes, the MCP uses the weights retrieved by the query_scoring_configuration capability, allowing you to use your own specific thresholds.

• 03

  Which AI clients can I use with this MCP?

  You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 04

  What is the output of the scoring capability?

  The capability returns a total score from 0 to 100, a qualification status (like MQL or SQL), and an estimated conversion probability.

• 05

  How does this help my sales team?

  It provides a definitive status for every lead, allowing sales teams to focus their time on the leads most likely to convert.

• 06

  What types of signals does the calculator use?

  The scoring model is comprehensive. It combines static Firmographic Signals (like company size and industry sector) retrieved via query_lead_profile_data with dynamic Behavioral Signals (such as page visits or emails opened). The final score weights these signals to give a true picture of intent.

• 07

  How configurable are the scoring rules?

  The model is highly flexible. It fetches all necessary weights and thresholds using query_scoring_configuration. This allows administrators to adjust the importance of any attribute (e.g., boosting the value of a 'Director' title) without changing core code.

• 08

  What inputs are needed to get a final score?

  To calculate the final result, three pieces of information are required. First, you need raw lead data using query_lead_profile_data. Second, you must provide the scoring weights from query_scoring_configuration. These inputs feed into the core function, calculate_converted_score, which provides the total score and status.

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