MCPMarket
Sell SkillsPower Your AgentsConnect
  1. Home
  2. Servers
  3. Lead Qualifier

Lead Qualifier

nick-watibynick-wati
•
3
•
API Development
Data Science & ML
Marketing Automation

Qualifies leads using ChatGPT based on the BANT (Budget, Authority, Need, Timeline) framework through a conversational interface.

Related MCPs

View more
  • neondatabase-labs

    Neon

    Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.

  • mendableai

    Firecrawl

    Empowers LLMs with advanced web scraping capabilities for content extraction, crawling, and search functionalities.

  • GLips

    Figma Context

    Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.

Related Skills

View all
  • openclaw

    Diagram Maker & Visualizer

    Generates professional SVG, HTML, and Excalidraw diagrams for software architecture, system flows, and educational concepts.

  • openclaw

    GH Issues Auto-Fixer

    Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.

  • openclaw

    Discord Integration

    Manages Discord operations including messaging, reactions, and channel management directly through Claude.

MCPMarket

Discover MCP servers that connect MCP clients like Claude and Cursor to your favorite tools. Browse the MCP Market to get started.

Browse

  • MCP Search
  • MCP Servers
  • MCP Clients
  • Agent Skills
  • MCP Market Hub
  • Categories
  • What is an MCP server?
  • Model Context Protocol

Rankings

  • Top MCPs Today
  • Top Agent Skills Today
  • Top 100 Agent Skills
  • Top 100 MCP Servers

About

  • News
  • Submit
  • Contact

© 2026 MCP Market. All rights reserved.·Privacy·Terms

Lead Qualifier is a lightweight tool that uses the ChatGPT language model to qualify leads according to the BANT methodology (Budget, Authority, Need, Timeline). It guides users through the lead qualification process with a conversational, one-field-per-turn approach. The tool features in-memory session tracking for speed but can be extended to use Redis for persistent storage. It is also compatible with platforms like Dify and Cursor via the MCP (Message Communication Protocol) using server-sent events (SSE).

Key Features

01Conversational flow with one field presented per turn
02Fast in-memory session tracking (extensible to Redis)
032 GitHub stars
04LLM-powered lead qualification info extraction and scoring based on BANT
05Compatible with Dify/Cursor via MCP (SSE)

Use Cases

01Building a conversational lead qualification experience for users
02Integrating lead qualification into existing workflows within Dify or Cursor
03Qualifying leads for sales teams using an automated system