Calibration Explorer

Name: Calibration Explorer
Author: m-sanchez

by m-sanchezversion 0.2.0i★ –iRuns on your computer

Registry nameio.github.m-sanchez/calibration-explorer

Install

Overview

Description from the maker (original English)

Check classifier confidence against accuracy, fit temperature scaling and save local reports.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "calibration-explorer": {
      "command": "npx",
      "args": [
        "-y",
        "@m-sanchez/calibration-explorer-mcp",
        "--input-root",
        "your-value",
        "--output-root",
        "your-value"
      ]
    }
  }
}

Run this in your terminal

claude mcp add calibration-explorer -- npx -y @m-sanchez/calibration-explorer-mcp --input-root your-value --output-root your-value

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "calibration-explorer": {
      "command": "npx",
      "args": [
        "-y",
        "@m-sanchez/calibration-explorer-mcp",
        "--input-root",
        "your-value",
        "--output-root",
        "your-value"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one needs values on its command line, so copy the settings and fill them in.

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "calibration-explorer": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@m-sanchez/calibration-explorer-mcp",
        "--input-root",
        "your-value",
        "--output-root",
        "your-value"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account m-sanchez, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32684 servers in this category
Published to the registry more recently than 55% of the other 32684 servers in this category
Basic checks equal to or better than 100% of the other 32684 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Calibration Explorer safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 33 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Master CSS

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Calibration Explorer MCP

Local stdio MCP server for Calibration Explorer. It checks whether a classifier's saved confidence matches how often it was correct, fits one temperature on calibration rows, evaluates and locks an acceptance threshold on policy-validation rows, and writes HTML and JSON assessment reports into your project.

It reads prediction files you select, uses the same parser, numerical library, workflow guards and report generator as the browser app, and does not train or run a classifier. There is no telemetry or remote service. Returned summaries can still reach your MCP client's model provider.

Use with Claude Code

Save this configuration, replacing both directories with absolute paths that already exist:

"mcpServers": { "calibration": { "type": "stdio", "command": "npx", "args": [ "-y", "@m-sanchez/calibration-explorer-mcp@0.2.0", "--input-root", "ABSOLUTE_PREDICTION_DIRECTORY", "--output-root", "ABSOLUTE_REPORT_DIRECTORY" ] } } }

Then launch claude --mcp-config calibration.mcp.json --strict-mcp-config and check /mcp. The verified client is the Claude Code interactive terminal, tested against the server run from a checkout; this npm route and the plugin have passed the clean-install test suite but not yet a full session in Claude Code. Other MCP hosts are not claimed as verified. Node.js 20 or newer is required.

--input-root and --output-root are required and repeatable. Paths outside them are refused, reports go into new folders only, and existing files are never overwritten. --help and --version print and exit.

Tools

load_predictions, assess_predictions, fit_temperature, set_policy, review_test and create_report. Test outcomes stay unopened until review_test receives an explicit decision through the client's elicitation form. Input formats, the complete workflow, disclosure rules and limits are documented in docs/mcp.md.

What the package contains

dist/cli.js is a readable, unminified bundle of the server, the shared app modules and @m-sanchez/calibrated from the exact Git commit the app pins. The official MCP TypeScript SDK and zod are exact-pinned runtime dependencies. The UCI digits reference ships under public/examples with its CC BY 4.0 attribution. Reports record the same app source and numerical distribution hashes as a checkout of the same commit; dist/NOTICE.txt lists them with the bundled licence.

Calibration Explorer

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Master CSS

README from the maker

Calibration Explorer MCP

Use with Claude Code

Tools

What the package contains