How do I use Lead Qualifier MCP Tool?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Lead Qualifier MCP Tool I have a new lead interested in our CRM software" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

🤖 Lead Qualifier MCP Tool

Q: Which integrations are available for this server?

Supports exposing the MCP server publicly using ngrok for external access by services like Dify. Uses ChatGPT to qualify leads through BANT mechanism (Budget, Authority, Need, Timeline) and extract qualification information from conversations. Can be extended to use Redis for session tracking instead of in-memory storage.

A lightweight MCP tool that uses ChatGPT to qualify leads over BANT mechanism (Budget, Authority, Need, Timeline). And guide users to enter leads informations question by question.

🚀 Features

🧠 LLM-powered lead qualification info (BANT) extraction and scoring
💬 One field per turn, with conversational flow
💾 Fast as in-memory session tracking, can be extended to Redis
🔌 Compatible with Dify / Cursor via MCP (sse)

Related MCP server: PhantAuth MCP Server

⚙️ Setup

Configure ChatGPT apikey in your .env file.

OPENAI_API_KEY=1234

Start your NodeJS server, which is your MCP server.

npm install
npm start

Optional: expose your server using ngrok

ngrok http 3001

Dify Agent Strategy Configuration

{
  "lead_qualification": {
    "transport": "sse",
    "url": "https://24c3-172-235-53-238.ngrok-free.app/sse",
    "headers": {},
    "timeout": 50,
    "sse_read_timeout": 50
  }
}

🛠 Example

Tool name: lead-qualifier
Input:

{
  "sessionId": "abc123",
  "message": "We have a budget of $1000"
}

Output:

{
  content: [
    {
      type: "text",
      text: "Are you the main person evaluating tools like this, or is there someone else involved in the decision?"
    }
  ],
  isError: false
}

Session:

{
  "qualificationMap": {
    "budget": "$1000 per month",
    "authority": "",
    "need": "",
    "timeline": ""
  },
  "scoreMap": {
    "budget": 30,
    "authority": 0,
    "need": 0,
    "timeline": 0
  },
  "totalScore": 30,
  "nextField": "authority",
  "lastPromptedField": "authority",
  "lastPromptedQuestion": "Are you the main person evaluating tools like this, or is there someone else involved in the decision?"
}