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rigor-mcp

PyPI·Infrastructure

rigor-mcp is an MIT-licensed Python package that provides verified statistical inference for AI agents. It offers classical hypothesis tests, effect-size calculations, power and sample-size analysis, multiple-comparisons correction, and access through both a CLI and MCP server.

Open SourceMITCLISelf-hosted
Visit PyPI↗

Overview

7 features

rigor-mcp is a Frameworks & runtimes project. It focuses on helping AI agents perform statistically valid hypothesis testing and power analysis instead of relying on unverified calculations. It is built as an open-source project for AI agent developers and data scientists. The project is open source (MIT). It ships for the command line, and it can be self-hosted.

mrnh builds and maintains rigor-mcp, and it first shipped in 2026. Development happens publicly on GitHub with 6 commits in the last 90 days. Key capabilities include hypothesis testing, effect sizes, and power analysis. It exposes integrations via an MCP server.

Summary written by a language model from the project’s public pages.

  • ✓Hypothesis testing
  • ✓Effect sizes
  • ✓Power analysis
  • ✓Sample-size calculation
  • ✓Multiple-comparisons correction
  • ✓MCP server
  • ✓CLI interface
Tags
statistical-inferencehypothesis-testingeffect-size-analysispower-analysismcp-server
AI capabilities
Structured
Inference: Local

Built with & integrations

Connectors
MCP
Runs on
CLISelf-hosted

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed18 Aug · 13:14 UTC
    rigor-mcp verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about rigor-mcp

What does rigor-mcp do?
Rigor-mcp focuses on helping AI agents perform statistically valid hypothesis testing and power analysis instead of relying on unverified calculations. It is catalogued under Frameworks & runtimes on PulseGate.
Who is rigor-mcp for?
rigor-mcp is an open-source project built for AI agent developers and data scientists.
Does rigor-mcp have a free plan?
Yes — rigor-mcp is open source under the MIT license and free to use.
What platforms does rigor-mcp run on?
rigor-mcp runs on the command line. It can also be self-hosted.
Is rigor-mcp still maintained?
The GitHub repository shows 6 commits in the last 90 days.
What projects are similar to rigor-mcp?
Similar projects tracked by PulseGate include rail-mcp, cogitan-mcp, and contextl-mcp.rail-mcpcogitan-mcpcontextl-mcp
Who develops rigor-mcp?
rigor-mcp is developed by mrnh.
When did rigor-mcp launch?
rigor-mcp first shipped in 2026.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
MIT
First seen
18 Aug 2026
Built for
AI agent developers and data scientists
Model
Open source
Solves
Helping AI agents perform statistically valid hypothesis testing and power analysis instead of relying on unverified calculations.

Registered as

GitHub
mrnh/rigor
PyPI
rigor-mcp

Developer

mrnh
Solo developer
↗ GitHub

Open source

View on GitHub →
Stars
0
Forks
0
Open issues
0
Last commit
18 Aug 2026
Commits 90d
6
Contributors
1
Authorship
Solo
Default branch
main

Index record

Identity confidence
Low · 64
Indexed
18 Aug 2026
Lifecycle
Alive
First seen
Aug 2026
Last seen
18 Aug 2026
Identity audit (13)
Slug
rigor-mcp-pypi-org
Lifecycle state recorded
18 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
18 Aug 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Written by a language model from the project's public pages.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
18 Aug 2026
Canonical URL
https://pypi.org/project/rigor-mcp

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