Elevator pitch

MCP server that simulates customer support scenarios for testing chatbot responses and agent workflows.

Industry

Customer Support & AI Training

Problem

• Chatbots lack realistic test environments before production deployment.
• Manual QA for support scenarios is time-consuming and inconsistent.

Solution

• Generate diverse customer inquiry scenarios on demand.
• Validate bot responses against support best practices automatically.

Tools

• scenario-generator: Creates varied customer support cases with context (inputs: category, tone, complexity; returns: full scenario)
• response-validator: Scores bot replies on empathy, accuracy, resolution (inputs: inquiry + response; returns: quality metrics)
• conversation-simulator: Runs multi-turn dialogue with configurable customer personas (inputs: bot endpoint, scenario; returns: transcript + metrics)

Widgets

• /test-dashboard: Real-time view of scenario results, pass/fail rates, and response quality scores.

Conversation starters

• "Generate 10 angry customer scenarios and test my support bot against them."
• "What's my chatbot's empathy score on refund requests?"