Accelerator Program Satisfaction Engine

Accelerator Program Satisfaction Engine MCP Connector for Claude

A+

Analyzes accelerator program success through satisfaction scores, NPS, and module performance.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a specialized analytical engine for accelerator programs to measure founder satisfaction. It synthesizes survey data to calculate an aggregate satisfaction score, computes Net Promoter Scores (NPS), and identifies specific curriculum areas needing improvement. Using tools like calculate_overall_satisfaction, compute_nps, and identify_improvement_areas, program managers can gain deep insights into cohort performance and adjust their curriculum based on data-driven feedback.

satisfactionnpsacceleratormetricsfeedback

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

calculate_overall_satisfaction

Determines the aggregate satisfaction level of the program

compute_nps

Calculates the Net Promoter Score to gauge program loyalty

identify_improvement_areas

Pinpoints specific curriculum or operational modules that are underperforming

See how to talk to your AI agent using Accelerator Program Satisfaction Engine.

Calculate the overall satisfaction for the current survey data.

The overall satisfaction score is 85/100, with an average module rating of 8.2.

What is the NPS score for these responses: [9, 10, 5, 8, 10, 2, 7]?

The Net Promoter Score is 28.6, with 3 Promoters, 1 Passive, and 2 Detractors.

Which modules need improvement if the threshold is 7.0? Ratings: {"mentorship": 8.5, "fundraising": 6.0, "product_dev": 7.5}

The module requiring improvement is `fundraising` with a rating of 6.0.

The score is a weighted synthesis of module ratings and outcome satisfaction, which can be adjusted for response bias using `calculate_overall_satisfaction`.

Related Connectors