Accelerator Demo Day Attendance Predictor

Accelerator Demo Day Attendance Predictor MCP Connector for Claude

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Predict investor turnout and optimize overbooking strategies for Demo Day events.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides predictive analytics for accelerator managers to forecast investor turnout and optimize event capacity. Use predict_attendance to estimate the total number of attendees based on historical rates and startup appeal. Use analyze_tier_distribution to understand the composition of investor tiers in the room, and recommend_overbooking_strategy to calculate the ideal number of invitations to send to ensure your target attendance is met without overcrowding.

investorattendancedemo-dayforecastingaccelerator

3 tools expose this connector's capabilities to your AI agent.

predict_attendance

recommend_overbooking_strategy

analyze_tier_distribution

See how to talk to your AI agent using Accelerator Demo Day Attendance Predictor.

I invited 100 investors. The historical attendance rate is 60% and the company appeal is 1.1. How many investors should I expect?

You can expect approximately 66 investors to attend.

I need exactly 50 investors to attend. The historical rate is 50% and appeal is 1.0. How many invites should I send?

You should send 100 invitations to ensure you reach your target of 50 attendees.

Based on an expected attendance of 80, what is the tier distribution if the proportions are TierA: 0.3, TierB: 0.5, and TierC: 0.2?

The expected distribution is 24 investors from TierA, 40 from TierB, and 16 from TierC.

Predictions are based on your provided historical attendance rates and company appeal factors. Using `predict_attendance` provides a confidence score to help you gauge statistical reliability.

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