How do I use shewhart-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@shewhart-mcp Create an Xbar-R control chart for my production data." That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

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: CalcsLive MCP Server