Accelerator Application Quality Score

Accelerator Application Quality Score MCP Connector for Claude

A+

A diagnostic engine to evaluate startup accelerator applications.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a diagnostic engine for evaluating startup accelerator applications. It uses a specialized scoring algorithm to assess core business metrics including problem clarity, solution uniqueness, team completeness, traction evidence, and market size validation. Using calculate_application_score, agents can generate comprehensive reports including a quality score, identified weak areas, and strategic improvement recommendations. Additionally, get_dimension_benchmarks allows for checking performance thresholds, while compare_applications enables ranking multiple startups to assist in shortlisting processes.

startupacceleratorscoringevaluationbusiness-metrics

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

calculate_application_score

Provides a comprehensive quantitative and qualitative assessment of a single accelerator application

compare_applications

Evaluates the relative quality of multiple applications to assist in ranking or shortlisting

get_dimension_benchmarks

Retrieves the threshold values used to define "weak" versus "strong" performance for each dimension

See how to talk to your AI agent using Accelerator Application Quality Score.

Evaluate this startup: Problem clarity is 8, solution uniqueness is 7, team completeness is 90%, traction is 5, market size is 8, and the application is complete.

The startup has a quality score of 76/100. The main weak area is traction evidence. To improve, the startup should focus on providing more quantifiable proof of market interest, such as user growth or revenue.

Compare these two applications: App A has a score of 85 and App B has a score of 72.

App A is ranked 1st and App B is ranked 2nd. The average score is 78.5 with a score spread of 13.

What is the threshold for a strong performance in traction?

The threshold for traction is a score of 7 or higher to avoid being flagged as a weak area.

The score is an aggregate of all input dimensions. If `isApplicationComplete` is false, the final score is heavily penalized to reflect the lack of evidentiary support.

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