Lead Qualifier Mcp
What is Lead Qualifier Mcp
Lead-qualifier-mcp is a lightweight tool that utilizes ChatGPT to qualify sales leads based on the BANT framework (Budget, Authority, Need, Timeline). It guides users through a series of questions to gather lead information effectively.
Use cases
Use cases for lead-qualifier-mcp include qualifying leads in real-time during sales calls, automating lead qualification in chatbots, and enhancing CRM data collection processes.
How to use
To use lead-qualifier-mcp, configure your ChatGPT API key in the .env file, start the NodeJS server, and optionally expose it using ngrok. Interact with the tool by sending lead information in JSON format, and it will respond with follow-up questions based on the input.
Key features
Key features include LLM-powered lead qualification using the BANT mechanism, a conversational flow with one field per turn, fast in-memory session tracking with optional Redis support, and compatibility with Dify/Cursor via MCP.
Where to use
Lead-qualifier-mcp can be used in sales and marketing environments where lead qualification is essential, such as CRM systems, sales automation tools, and customer engagement platforms.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Lead Qualifier Mcp
Lead-qualifier-mcp is a lightweight tool that utilizes ChatGPT to qualify sales leads based on the BANT framework (Budget, Authority, Need, Timeline). It guides users through a series of questions to gather lead information effectively.
Use cases
Use cases for lead-qualifier-mcp include qualifying leads in real-time during sales calls, automating lead qualification in chatbots, and enhancing CRM data collection processes.
How to use
To use lead-qualifier-mcp, configure your ChatGPT API key in the .env file, start the NodeJS server, and optionally expose it using ngrok. Interact with the tool by sending lead information in JSON format, and it will respond with follow-up questions based on the input.
Key features
Key features include LLM-powered lead qualification using the BANT mechanism, a conversational flow with one field per turn, fast in-memory session tracking with optional Redis support, and compatibility with Dify/Cursor via MCP.
Where to use
Lead-qualifier-mcp can be used in sales and marketing environments where lead qualification is essential, such as CRM systems, sales automation tools, and customer engagement platforms.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
🤖 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)
⚙️ 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:
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?"
}Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
