MCP Tools DirectoryAbout this integration
Verified statistical inference for AI agents: hypothesis tests, correlation, effect sizes, power.
- Transport
- stdio
- Authentication
- none
- Initial setup
- none
- Runtime
- unattended
- Evidence
- documented
- Version
- 0.3.0
- Package
- rigor-mcp
- Last compatibility test
- Not independently tested
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rigor-mcpPublisher README and Python manifest were reviewed. The package was not executed and its statistical validation claims were not independently verified.
Capabilities: hypothesis testing, correlation and regression, effect-size and power calculation, multiple-comparison correction, sequential testing and test recommendation
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Additional details
io.github.mrnh/rigor-mcp
Source ↗ · Checked 2026-09-170.3.0
Source ↗ · Checked 2026-09-17CC0-1.0; package licenses are separate
Source ↗ · Checked 2026-09-17pypi
Source ↗ · Checked 2026-09-17rigor-mcp
Source ↗ · Checked 2026-09-190.5.0
Source ↗ · Checked 2026-09-19The publisher documents an installed stdio MCP console command that can be registered directly with an MCP host.
Source ↗ · Checked 2026-09-19No credential or remote account is documented; statistical calculations use the local Python implementation and the required dependency is the MCP SDK.
Source ↗ · Checked 2026-09-19Install rigor-mcp and register the rigor-mcp console command as a stdio MCP server.
Source ↗ · Checked 2026-09-19Publisher documentation reviewed; package and integration endpoint not executed or independently security-audited.
Source ↗ · Checked 2026-09-19