Crewhu is an MCP (Model Context Protocol) server by wyre-technology. MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.

How do I connect Crewhu to Claude, Cursor, or another MCP client?

Install Crewhu from its oci package (ghcr.io/wyre-technology/crewhu-mcp:v1.0.4) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.

Is Crewhu open source?

Yes — the source code is public at github.com/wyre-technology/crewhu-mcp.

Can AI agents pay to use Crewhu?

Not yet through Loomal — Crewhu is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.

Crewhu

MCP server by github.com/wyre-technology/crewhu-mcp

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

0 starsoci: ghcr.io/wyre-technology/crewhu-mcp:v1.0.4

About Crewhu

Crewhu is an MCP (Model Context Protocol) server published by wyre-technology in the official MCP registry. MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.

It ships as a Docker image (ghcr.io/wyre-technology/crewhu-mcp:v1.0.4), so any MCP client that can launch a local process can run it.

Development happens in the open at github.com/wyre-technology/crewhu-mcp.

Use Crewhu with your agent

Claude Code · one command

claude mcp add crewhu -- docker run -i --rm ghcr.io/wyre-technology/crewhu-mcp:v1.0.4

Claude Desktop, Cursor & other MCP clients · config

{
  "mcpServers": {
    "crewhu": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/wyre-technology/crewhu-mcp:v1.0.4"
      ]
    }
  }
}

ocighcr.io/wyre-technology/crewhu-mcp:v1.0.4

Frequently asked questions

What is Crewhu?: Crewhu is an MCP (Model Context Protocol) server by wyre-technology. MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.
How do I connect Crewhu to Claude, Cursor, or another MCP client?: Install Crewhu from its oci package (ghcr.io/wyre-technology/crewhu-mcp:v1.0.4) and register it under "mcpServers" in your client's MCP configuration — for example claude_desktop_config.json or Cursor's mcp.json — then restart the client.
Is Crewhu open source?: Yes — the source code is public at github.com/wyre-technology/crewhu-mcp.
Can AI agents pay to use Crewhu?: Not yet through Loomal — Crewhu is listed as a free directory entry. If its maintainer verifies ownership, they can set per-call USDC pricing that agents pay over x402, with settlement on Base.

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Listing data from the official MCP registry and GitHub, refreshed periodically. Not affiliated with the maintainer unless claimed. Maintain Crewhu? Claim this listing free by verifying GitHub ownership, or contact us.