crew-llms — CREW / CrewPay MCP Resource
crew-llms
is one of 2 resources on the
CREW / CrewPay
MCP server. Connect the server and your client can attach it as context.
by client
How to attach crew-llms from your client
- Claude Code CREW / CrewPay Resource/crew-llms run in your project directory
- Claude Desktop CREW / CrewPay Resource/crew-llms ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor CREW / CrewPay Resource/crew-llms ~/.cursor/mcp.json
- VS Code CREW / CrewPay Resource/crew-llms .vscode/mcp.json
- Zed CREW / CrewPay Resource/crew-llms ~/.config/zed/settings.json
- Windsurf CREW / CrewPay Resource/crew-llms ~/.codeium/windsurf/mcp_config.json
- Cline CREW / CrewPay Resource/crew-llms ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI CREW / CrewPay Resource/crew-llms ~/.gemini/settings.json
- Grok CREW / CrewPay Resource/crew-llms .mcp.json (in your project root)
- ChatGPT CREW / CrewPay Resource/crew-llms Settings → Connectors → Advanced → Developer mode
- Claude.ai CREW / CrewPay Resource/crew-llms Settings → Connectors → Add custom connector
- LangChain CREW / CrewPay Resource/crew-llms pip install langchain-mcp-adapters
Other resources on this server
CREW / CrewPay also offers 1 prompt — things you invoke, where a resource is context you attach.
Read from the server itself, by connecting to it and calling resources/list on 14 November 2026.
A listing does not declare its resources, so asking is the only way to know them, and this
is what the server actually offers rather than what its listing claims. Names only are
stored; connect the server for each resource's type and contents.