Crewhu MCP server
MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.
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If you have run it, two minutes of your experience saves the next person an afternoon.
Crewhu tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-10-31 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitystatic API keys via environment variables6/15
- Maintenancelast push 12 days ago15/15
- Maintainer identityregistry namespace matches repository owner7/10
How Crewhu compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 70/100
- higher than 35% of 48,255 servers
Release history: 2 versions in the registry since 2026-08-26, latest 2026-10-14, typically one every 49 days.
Install Crewhu in Claude Code, Cursor or VS Code
claude mcp add crewhu-mcp -- docker run -i --rm ghcr.io/wyre-ai/crewhu-mcp:v2.0.5
What the publisher says
From the Crewhu repository's README, as published. We do not edit it. Read it on GitHub
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 ecosystem — a growing suite of AI integrations for the MSP stack. Built by MSPs, for MSPs.
Installation
npm install @wyre-ai/crewhu-mcpConfiguration
Set the following environment variables:
Usage
Running with Claude Desktop
Add to your Claude Desktop claudedesktopconfig.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-mcpDocker
docker build -t crewhu-mcp .
docker run \
-e CREWHU_API_TOKEN=your-value \
-p 8080:8080 crewhu-mcpAvailable 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 testContributing
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.
Nothing above is checked by us. What we check is on the safety report.
Crewhu: common questions
- Is Crewhu MCP server safe?
- Mostly: it is graded B (70/100). Read the Crewhu safety report
- How do I install Crewhu?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Crewhu need an API key?
- Yes. The registry entry asks for
CREWHU_API_TOKEN. - Is Crewhu maintained?
- The last commit was 16 days ago (2026-10-19). The latest release is v2.0.5.