models — TurboMax AI MCP Resource
models
is one of 2 resources on the
TurboMax AI
MCP server. Connect the server and your client can attach it as context.
by client
How to attach models from your client
- Claude Code TurboMax AI Resource/models run in your project directory
- Claude Desktop TurboMax AI Resource/models ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor TurboMax AI Resource/models ~/.cursor/mcp.json
- VS Code TurboMax AI Resource/models .vscode/mcp.json
- Zed TurboMax AI Resource/models ~/.config/zed/settings.json
- Windsurf TurboMax AI Resource/models ~/.codeium/windsurf/mcp_config.json
- Cline TurboMax AI Resource/models ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI TurboMax AI Resource/models ~/.gemini/settings.json
- Grok TurboMax AI Resource/models .mcp.json (in your project root)
- ChatGPT TurboMax AI Resource/models Settings → Connectors → Advanced → Developer mode
- Claude.ai TurboMax AI Resource/models Settings → Connectors → Add custom connector
- LangChain TurboMax AI Resource/models pip install langchain-mcp-adapters
Other resources on this server
Read from the server itself, by connecting to it and calling resources/list on 11 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.