servers/ development/ crewhu
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Crewhu

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

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Overview Installation

Overview

Crewhu is an MCP server that integrates customer feedback, employee engagement, and gamification tools into any MCP-compatible AI assistant. When connected, it lets Claude, Cursor, VS Code, and other clients call Crewhu's tools directly within conversations and agent workflows, with the model deciding when and how to use them.

The server runs locally via Docker using the image ghcr.io/wyre-ai/crewhu-mcp:v2.0.4, communicating over stdio on your machine. You'll need to provide a CREWHU_API_TOKEN environment variable for authentication. Version v2.0.4 is published under the Apache-2.0 license with full source code available at WYRE-AI/crewhu-mcp on GitHub.

Crewhu is categorized as a Development tool on mcp.site and works with MCP clients including Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, and Zed. If you maintain this server for WYRE-AI, you can claim this listing to verify ownership, earn the Verified badge, and keep information up to date.

▸Docker image — ghcr.io/wyre-ai/crewhu-mcp:v2.0.4 · MCP over stdio
▸Credentials — Requires CREWHU_API_TOKEN
▸Open source — Apache-2.0 license · WYRE-AI/crewhu-mcp

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "crewhu": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/wyre-ai/crewhu-mcp:v2.0.4"
      ],
      "env": {
        "CREWHU_API_TOKEN": "<crewhu-api-token>"
      }
    }
  }
}

Requires CREWHU_API_TOKEN

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