An MCP server that connects Claude or other MCP-compatible AI clients to a Crewhu environment. It lets assistants manage surveys, badges, prizes, and user engagement data in Crewhu.
From the registry: MCP server for Crewhu — customer feedback (CSAT/NPS), employee engagement, and gamification.
Please install the `crewhu-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Node.js** — Node.js version 18 or newer is required to run the MCP server via npx/npm. (https://nodejs.org/)
- **Obtain a Crewhu API token** — Create or retrieve your Crewhu API token for authenticating the MCP server to your Crewhu environment.
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@wyre-technology/crewhu-mcp"]
- required environment variables:
- `CREWHU_API_TOKEN`: Your Crewhu API token. (example: `<your-crewhu-api-token>`)
- optional environment variables:
- `MCP_TRANSPORT`: Transport mode. Defaults to stdio; can be set to http if supported by the server runtime. (example: `stdio`)
Note: The README documents stdio usage via npx as the simplest portable path. Although MCP_TRANSPORT may be set to http, the README does not provide a canonical HTTP endpoint URL shape, so only stdio config is extracted.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.CREWHU_API_TOKENrequiredYour Crewhu API tokenMCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API