🤖 Lead Qualifier MCP Tool

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?" }