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MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.
About
MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.
Security Report
This is a well-structured MCP server for the Crewhu platform with proper authentication patterns and reasonable permissions alignment. However, there are several code quality and error-handling concerns that warrant attention. The server uses environment variable-based authentication (with support for per-request gateway credentials), implements input validation on API parameters, and has appropriate scoping for its domain operations. Issues found are primarily in error handling robustness, logging practices, and input validation edge cases rather than critical security vulnerabilities. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity).
7 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: CREWHU_API_TOKEN
Environment variable: MCP_TRANSPORT
Environment variable: AUTH_MODE
Environment variable: LOG_LEVEL
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-wyre-technology-crewhu-mcp": {
"env": {
"AUTH_MODE": "your-auth-mode-here",
"LOG_LEVEL": "your-log-level-here",
"MCP_TRANSPORT": "your-mcp-transport-here",
"CREWHU_API_TOKEN": "your-crewhu-api-token-here"
},
"args": [
"-y",
"@wyre-technology/crewhu-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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-mcp
Configuration
Set the following environment variables:
| Variable | Required | Description |
|---|---|---|
CREWHU_API_TOKEN | Yes | Your Crewhu API token |
MCP_TRANSPORT | No | Transport mode: stdio (default) or http |
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
docker build -t crewhu-mcp .
docker run \
-e CREWHU_API_TOKEN=your-value \
-p 8080:8080 crewhu-mcp
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.
Reviews
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