Accelerator Track Record Metrics

Accelerator Track Record Metrics MCP Connector for Claude

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Calculate high-fidelity performance metrics for startup accelerators.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides tools to assess accelerator success through precise metrics. Use get_portfolio_summary to evaluate capital efficiency, calculate_exit_performance to analyze liquidity success adjusted for cohort age, and compute_track_record_score to generate a normalized performance score based on funding, unicorns, and market conditions.

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

get_portfolio_summary

Provides a high-level overview of the accelerator scale and capital efficiency

compute_track_record_score

Generates a single, normalized performance score

calculate_exit_performance

Analyzes the liquidity success of the accelerator, accounting for cohort age

See how to talk to your AI agent using Accelerator Track Record Metrics.

What is the average funding per company for an accelerator with 50 companies and $250M raised?

The average funding per company is $5,000,000.

Calculate the exit performance for 10 companies with 2 exits in 2023 and cohorts starting in 2020 and 2021.

The exit rate is 20%, with an age-adjusted exit rate reflecting the cohort maturity.

What is the track record score for 100 companies, $500M raised, 5 unicorns, and 10 notable alumni in a neutral market?

The calculated track record score is 75.5.

The `calculate_exit_performance` tool calculates the exit rate by dividing the number of exits by the total companies, and provides an age-adjusted rate to account for cohort vintage.

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