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rigor MCP Server

mrnh/rigor

Score: 54.9 Rank #1989 MCP Server
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Verified statistical inference for AI agents -- classical and non-parametric hypothesis testing, correlation/regression, effect sizes, power/sample-size, multiple-comparisons correction, a test-recommendation helper, and a batch pairwise-comparison tool, as a CLI and an MCP server

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Overview

mrnh/rigor is a Python MCP server licensed under MIT. Verified statistical inference for AI agents -- classical and non-parametric hypothesis testing, correlation/regression, effect sizes, power/sample-size, multiple-comparisons correction, a test-recommendation helper, and a batch pairwise-comparison tool, as a CLI and an MCP server

Ranked #1989 out of 24850 indexed tools.

In the top 9% of all indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 7d ago

Last commit 7d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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AgentRank score for mrnh/rigor
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Matched Queries

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