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shewhart-mcp

by bertanucar
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Python

shewhart-mcp

An MCP server that exposes shewhart, the statistical process control library for Python, as tools for AI agents.

The reasoning: agents asked about process data tend to generate their own statistics, and generated statistics fail silently. Calculation belongs in a deterministic, versioned, validated tool that the agent calls. The agent interprets; validated code calculates.

Status

In development. This release reserves the package name; the first working server ships shortly, with these tools:

Tool

Purpose

review

one call: choose the right chart, check assumptions, return a structured verdict

control_chart

I-MR, Xbar-R/S, p/np/c/u, Laney, EWMA, CUSUM by alias

capability

Cp/Cpk/Pp/Ppk with confidence intervals, non-normal methods

tolerance_interval

normal (Howe k2) and nonparametric (Wilks)

fit_baseline / evaluate_baseline

freeze control limits, judge new data against them

Every result carries provenance (library version, input hash, timestamp) and is validated against published reference values, including NIST-certified datasets, in CI.

Related MCP server: spss-studio-mcp

License

MIT. Built by Bertan Ucar.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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