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Integrations

MCP Server

Overview

Conturs MCP Server lets you score leads directly inside AI assistants through natural conversation — no code or API calls needed.

The scoring logic is identical to the Scoring API. Same 13 factors, same weights, same results.

Available Tools

The MCP server exposes two tools:

  • get_config — fetches your scoring configuration (weights for each factor). Your API key is read from the connection config automatically.

  • calculate_score — scores a lead using contact data and your config weights. Returns a 0–100 score, label (Hot / Warm / Cool / Cold), and factor breakdown.

For all supported fields and response format, see API Reference.

Setup — Claude Desktop

Open Settings → Developer → Edit Config to open claude_desktop_config.json and add:

{
  "mcpServers": {
    "conturs": {
      "url": "https://api.conturs.com/mcp/sse",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}
{
  "mcpServers": {
    "conturs": {
      "url": "https://api.conturs.com/mcp/sse",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}
{
  "mcpServers": {
    "conturs": {
      "url": "https://api.conturs.com/mcp/sse",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Restart Claude Desktop after saving.

Usage

Once connected, just ask in natural language:

"Get my scoring config"

"Score this lead: jane@startup.io, CEO at Startup Inc, qualified, deal amount $50k"

"Score these 3 leads and tell me which one to prioritize"

Claude handles the tool calls automatically.

API Key

Get your API key from Dashboard → API. The same key works for both the MCP server and the REST API.

Need help getting started?

All rights reserved. Conturs 2026

All rights reserved. Conturs 2026

All rights reserved. Conturs 2026