Lead Qualifier MCP Tool

by nick-wati

Integrations

  • 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.

🤖 Lead-Qualifizierungs-MCP-Tool

Ein leichtes MCP-Tool, das ChatGPT verwendet, um Leads über den BANT-Mechanismus (Budget, Autorität, Bedarf, Zeitleiste) zu qualifizieren. Und Benutzer werden durch die Eingabe von Lead-Informationen Frage für Frage angeleitet.

🚀 Funktionen

  • 🧠 LLM-gestützte Extraktion und Bewertung von Lead-Qualifizierungsinformationen (BANT)
  • 💬 Ein Feld pro Runde, mit Gesprächsfluss
  • 💾 Schnell wie In-Memory-Session-Tracking, kann auf Redis erweitert werden
  • 🔌 Kompatibel mit Dify / Cursor über MCP ( sse )

⚙️ Einrichtung

Konfigurieren Sie den ChatGPT-API-Schlüssel in Ihrer .env-Datei.

OPENAI_API_KEY=1234

Starten Sie Ihren NodeJS-Server, der Ihr MCP-Server ist.

npm install npm start

Optional: Stellen Sie Ihren Server mit ngrok bereit

ngrok http 3001

Konfiguration der Dify-Agentenstrategie

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

🛠 Beispiel

Toolname: lead-qualifier
Eingang:

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

Ausgabe:

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

Sitzung:

{ "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?" }
-
security - not tested
A
license - permissive license
-
quality - not tested

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Ein leichtgewichtiger Server, der ChatGPT verwendet, um Leads mithilfe des BANT-Frameworks (Budget, Authority, Need, Timeline) durch einen konversationellen Frage-für-Frage-Ansatz zu qualifizieren.

  1. 🚀 Funktionen
    1. ⚙️ Einrichtung
      1. 🛠 Beispiel

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