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

Crewhu

by wyre-technologyversion 2.0.3i★ –iRuns on your computer
Registry nameio.github.wyre-technology/crewhu-mcp

Install

Overview

Description from the maker (original English)

MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.

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: CREWHU_API_TOKEN

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).
  • You fill in yourself: CREWHU_API_TOKEN, MCP_TRANSPORT, AUTH_MODE, LOG_LEVEL

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

You need

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": {
    "crewhu": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-technology/crewhu-mcp:v2.0.3"
      ],
      "env": {
        "CREWHU_API_TOKEN": "your-value",
        "MCP_TRANSPORT": "your-value",
        "AUTH_MODE": "your-value",
        "LOG_LEVEL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add crewhu --env CREWHU_API_TOKEN=your-value --env MCP_TRANSPORT=your-value --env AUTH_MODE=your-value --env LOG_LEVEL=your-value -- docker run -i --rm -e CREWHU_API_TOKEN -e MCP_TRANSPORT -e AUTH_MODE -e LOG_LEVEL ghcr.io/wyre-technology/crewhu-mcp:v2.0.3

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": {
    "crewhu": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-technology/crewhu-mcp:v2.0.3"
      ],
      "env": {
        "CREWHU_API_TOKEN": "your-value",
        "MCP_TRANSPORT": "your-value",
        "AUTH_MODE": "your-value",
        "LOG_LEVEL": "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": {
    "crewhu": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CREWHU_API_TOKEN",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "AUTH_MODE",
        "-e",
        "LOG_LEVEL",
        "ghcr.io/wyre-technology/crewhu-mcp:v2.0.3"
      ],
      "env": {
        "CREWHU_API_TOKEN": "your-value",
        "MCP_TRANSPORT": "your-value",
        "AUTH_MODE": "your-value",
        "LOG_LEVEL": "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

  • CREWHU_API_TOKEN secret required env
    Crewhu API token (Settings → Integrations → API)
  • MCP_TRANSPORT env
    Transport mode for the server. Set to 'stdio' for local CLI use; the image defaults to 'http' for gateway hosting.
  • AUTH_MODE env
    Credential source: 'env' reads vars locally, 'gateway' expects header injection from the WYRE MCP Gateway.
  • LOG_LEVEL env
    Log verbosity: debug, info, warn, error

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account wyre-technology, 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 18513 servers in this category
  • Published to the registry more recently than 19% of the other 18513 servers in this category
  • Basic checks equal to or better than 100% of the other 18513 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 Crewhu 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?

You need to fill in: CREWHU_API_TOKEN

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 (2.0.3) reached the registry 3 months ago.

Which apps can use it?

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

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Cape Winelands Visit Planner

Alternatives

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

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

Spec Driven Development

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

by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

Runs on your computer

Remote Desktop Commander

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

by desktop-commanderGrowing★ 211Updated 3 days ago

Runs in the cloud✓ desktopcommander.app

Cape Winelands Visit Planner

Cape Winelands wine farm finder and day-route planner

by aiagenttools.co.zaEarlyUpdated today

Runs in the cloud✓ aiagenttools.co.za

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.

Crewhu MCP Server

A Model Context Protocol (MCP) server for Crewhu — customer feedback, employee engagement, and gamification platform. Enables AI assistants to manage surveys, badges, prizes, and user engagement data.

This is a Model Context Protocol (MCP) server that connects Claude (or any MCP-compatible AI) to your Crewhu environment.

Part of the [MSP Claude Plugins](https://github.com/WYRE-AI) ecosystem — a growing suite of AI integrations for the MSP stack. Built by MSPs, for MSPs.

Installation

npm install @wyre-ai/crewhu-mcp

Configuration

Copy .env.example and set the variables below. Leave CONDUIT_S2S_SECRET empty in that file.

VariableRequiredDescription
CREWHU_API_TOKENFor stdio and AUTH_MODE=envCrewhu API token. Not read in gateway mode.
MCP_TRANSPORTNostdio (default) or http
AUTH_MODENogateway (Docker image and Compose default) or env. Gateway mode requires X-Crewhu-Api-Token on each /mcp request and never falls back to CREWHU_API_TOKEN. env uses that variable only after S2S auth succeeds.
CONDUIT_S2S_SECRETYes for HTTPService-to-service HMAC secret. The HTTP server logs an error and exits non-zero when this is empty or a known placeholder (changeme, replace-with-a-real-secret, and similar). Compose will not start without it. Generate with openssl rand -hex 32. Never commit a real value. The value is never logged.
MCP_ALLOW_INSECURE_DEVNoSet to exactly 1 only for local development to start HTTP without CONDUIT_S2S_SECRET. The process logs a warning and does not enforce X-Gateway-S2S. The listener is forced to 127.0.0.1 even if MCP_HTTP_HOST is a wider address. A placeholder secret is still refused.
MCP_HTTP_HOSTNoBind address when MCP_TRANSPORT=http. Defaults to 127.0.0.1. Honored when CONDUIT_S2S_SECRET is set. The container image sets 0.0.0.0.
MCP_HTTP_PORTNoHTTP port. Defaults to 8080.

/health stays unauthenticated and does not require X-Gateway-S2S. The stdio transport does not use CONDUIT_S2S_SECRET.

HTTP authentication

With MCP_TRANSPORT=http and a real CONDUIT_S2S_SECRET, every /mcp request must include X-Gateway-S2S. A missing or invalid header returns 401 before any vendor credential is read.

The header is an HMAC proof:

X-Gateway-S2S: t=<unix seconds>,v1=<hex hmac-sha256>

v1 is the hex-encoded HMAC-SHA256 of the ASCII string t= (the same t= prefix and value), keyed with CONDUIT_S2S_SECRET. The timestamp must be within 300 seconds of the server clock.

t=$(date +%s)

sig=$(printf 't=%s' "$t" | openssl dgst -sha256 -hmac "$CONDUIT_S2S_SECRET" -hex | awk '{print $NF}') curl -sS "http://127.0.0.1:8080/mcp" \ -H "X-Gateway-S2S: t=${t},v1=${sig}" \ -H "X-Crewhu-Api-Token: $CREWHU_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

In AUTH_MODE=gateway, /mcp also requires X-Crewhu-Api-Token. A missing or blank header returns 401 and does not fall back to CREWHU_API_TOKEN.

Usage

Running with Claude Desktop

Add to your Claude Desktop claude_desktop_config.json:

{

"mcpServers": { "crewhu-mcp": { "command": "npx", "args": ["@wyre-ai/crewhu-mcp"], "env": { "CREWHU_API_TOKEN": "your-crewhu-api-token" } } } }

Running with Claude Code (CLI)
claude mcp add crewhu-mcp \

-e CREWHU_API_TOKEN=your-value \ -- npx -y @wyre-ai/crewhu-mcp

Docker

The image listens on 0.0.0.0 inside the container (MCP_HTTP_HOST) and defaults to AUTH_MODE=gateway. Publish the port on loopback and pass a real S2S secret. In gateway mode, the Crewhu token arrives on each request as X-Crewhu-Api-Token; it is not read from the environment. Startup exits if CONDUIT_S2S_SECRET is empty or a known placeholder.

docker build -t crewhu-mcp .

docker run \ -e CONDUIT_S2S_SECRET="$CONDUIT_S2S_SECRET" \ -p 127.0.0.1:8080:8080 \ crewhu-mcp

Compose refuses to start when CONDUIT_S2S_SECRET is unset, defaults AUTH_MODE to gateway, publishes 127.0.0.1:8080:8080, and does not set CREWHU_API_TOKEN:

CONDUIT_S2S_SECRET="$CONDUIT_S2S_SECRET" docker compose up

Single-tenant HTTP (AUTH_MODE=env) still requires the S2S secret, then uses CREWHU_API_TOKEN:

docker run \

-e CONDUIT_S2S_SECRET="$CONDUIT_S2S_SECRET" \ -e AUTH_MODE=env \ -e CREWHU_API_TOKEN=your-value \ -p 127.0.0.1:8080:8080 \ crewhu-mcp

Local HTTP without a secret is development-only. It binds 127.0.0.1 only and logs a warning. A non-loopback MCP_HTTP_HOST is ignored:

MCP_TRANSPORT=http MCP_ALLOW_INSECURE_DEV=1 npm start

Available Domains

Badges

Manage and award employee badges

Prizes

Manage prize catalog and redemptions

Surveys

Create and manage customer satisfaction surveys

Users

User management and engagement data

Development

# Clone the repository

git clone https://github.com/WYRE-AI/crewhu-mcp.git cd crewhu-mcp

Install dependencies

npm install

Build

npm run build

Run tests

npm test

Contributing

Contributions are welcome! Please see CONTRIBUTING.md if present, or open an issue to discuss changes.

License

Licensed under the Apache License, Version 2.0. See LICENSE for details.

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