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PopNx MCPMCP servers for people who use AI · explained in plain words

Maap

by hitl-systemsversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.codecraf8/maap

Install

Overview

Description from the maker (original English)

Calibrated numeric estimates with uncertainty from messy records

PopNx MCP’s three pillars

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

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
  • You need to fill in: MAAP_API_KEY

Install

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

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: MAAP_API_KEY, MAAP_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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": {
    "maap": {
      "command": "npx",
      "args": [
        "-y",
        "maap-mcp"
      ],
      "env": {
        "MAAP_API_KEY": "your-value",
        "MAAP_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add maap --env MAAP_API_KEY=your-value --env MAAP_BASE_URL=your-value -- npx -y maap-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "maap": {
      "command": "npx",
      "args": [
        "-y",
        "maap-mcp"
      ],
      "env": {
        "MAAP_API_KEY": "your-value",
        "MAAP_BASE_URL": "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "maap": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "maap-mcp"
      ],
      "env": {
        "MAAP_API_KEY": "your-value",
        "MAAP_BASE_URL": "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.

Values you fill in

  • MAAP_API_KEY secret required env
    API key from https://dash.hitl.systems/keys
  • MAAP_BASE_URL env
    Override the API base URL. Defaults to https://dash.hitl.systems

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 6, 2026

  • ! Caution

    Maker matches the repo

    The publisher (codecraf8) is not the repo owner (hitl-systems); someone else may have listed it

  • … 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 32403 servers in this category
  • Published to the registry more recently than 69% of the other 32403 servers in this category
  • Basic checks equal to or better than 35% of the other 32403 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 Maap safe?

It passed 0 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?

You need to fill in: MAAP_API_KEY

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 (0.1.1) reached the registry 16 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, LickityClick

Alternatives

Servers in the same category from other makers, sorted by stars.

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

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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LickityClick

by lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

Computer or cloudUpdated today
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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.

maap-mcp

maap over MCP: ask for a number, get a calibrated distribution — a median, the range the true value should fall inside, and the probability of crossing a threshold you name.

Two tools:

ToolDoes
list_targetsSearch the 104 trained targets. Call this first — a target id is not guessable
estimateOne case, one target → median, quantiles, intervals, P(value > t), and how calibrated the answer is

Install

Get a key at dash.hitl.systems/keys, then add the server to your client.

Claude Desktop — claude_desktop_config.json:

{

"mcpServers": { "maap": { "command": "npx", "args": ["-y", "maap-mcp"], "env": { "MAAP_API_KEY": "apikey_..." } } } }

Claude Code:

claude mcp add maap --env MAAP_API_KEY=apikey_... -- npx -y maap-mcp

Not on npm yet — until it is, install straight from this repo by swapping maap-mcp for github:hitl-systems/maap-mcp in any of the above. The built bundle is committed, so there is nothing to compile.

Cursor — ~/.cursor/mcp.json: the same mcpServers block as Claude Desktop.

VariableRequiredDefault
MAAP_API_KEYyes—
MAAP_BASE_URLnohttps://dash.hitl.systems

Using it

Which maap target predicts flight prices? Estimate the fare for a Vistara economy ticket

Delhi → Mumbai, non-stop, booked 9 days out, and tell me the chance it is over ₹10,000.

The agent calls list_targets for the id, then estimate with your case as the state.

Read the median as the answer and the range as what to plan against. For a threshold question, pass thresholds and read P(value > t) — do not compare the median to the threshold yourself; the median says where the middle is, not how likely the threshold is.

An answer also carries how much to trust it: regime (in_domain, or new_target when the model only knows what your examples taught it), calibration ("none" means no correction survived its check, so the range carries no coverage promise), and novelty_flag when the case is unlike anything in training. Known limits are published: dash.hitl.systems/docs/calibration.

Notes

  • One question per call. The HTTP API takes up to 32 under names you choose; a flat tool is the one an agent fills in correctly.
  • The first call after an idle period starts a GPU container and can take tens of seconds. The server waits 120 s and tells the agent to retry rather than failing silently.
  • Each question counts against your allowance. A rejected call costs nothing.
  • Pricing, limits and the full wire format: dash.hitl.systems/docs/api.

MIT.

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