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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use Lead Scoring Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate a lead's conversion readiness score instantly using configurable firmographic and behavioral data points.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Lead Scoring Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with Lead Scoring Calculator.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Lead Scoring Calculator.

  1. 01

    Query scoring configuration

    Retrieve current scoring configuration weights and thresholds

  2. 02

    Calculate converted score

    Returns total score, qualification status (Cold/Warm/Hot/MQL/SQL), and estimated conversion probability. Calculate composite lead score with qualification status and conversion probability

  3. 03

    Query lead profile data

    Optionally specify a scoring version ID. Retrieve raw lead profile data for scoring

Observed, not estimated

645ms average. Fast in production.

Lead Scoring Calculator is checked daily against the live service.

Daily averagePeak 885ms
Aug 20Today
Fastest day
485ms
Slowest day
885ms
14-day trend
Slowing+82%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Lead Scoring Calculator, so you can see the experience inside your AI.

It does not authenticate your account with Lead Scoring Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Lead Scoring Calculator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  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.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lead-scoring-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Lead Scoring Calculator owners ask.

  • 01

    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.

  • 02

    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.

  • 03

    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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