worlds-catalog — AI Worlds CLI Knowledge MCP Resource

worlds-catalog is one of 1 resource on the AI Worlds CLI Knowledge MCP server. Connect the server and your client can attach it as context.

by client

How to attach worlds-catalog from your client

• Claude Code AI Worlds CLI Knowledge Resource/worlds-catalog run in your project directory
• Claude Desktop AI Worlds CLI Knowledge Resource/worlds-catalog ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor AI Worlds CLI Knowledge Resource/worlds-catalog ~/.cursor/mcp.json
• VS Code AI Worlds CLI Knowledge Resource/worlds-catalog .vscode/mcp.json
• Zed AI Worlds CLI Knowledge Resource/worlds-catalog ~/.config/zed/settings.json
• Windsurf AI Worlds CLI Knowledge Resource/worlds-catalog ~/.codeium/windsurf/mcp_config.json
• Cline AI Worlds CLI Knowledge Resource/worlds-catalog ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI AI Worlds CLI Knowledge Resource/worlds-catalog ~/.gemini/settings.json
• Grok AI Worlds CLI Knowledge Resource/worlds-catalog .mcp.json (in your project root)
• ChatGPT AI Worlds CLI Knowledge Resource/worlds-catalog Settings → Connectors → Advanced → Developer mode
• Claude.ai AI Worlds CLI Knowledge Resource/worlds-catalog Settings → Connectors → Add custom connector
• LangChain AI Worlds CLI Knowledge Resource/worlds-catalog pip install langchain-mcp-adapters

AI Worlds CLI Knowledge also offers 3 prompts — things you invoke, where a resource is context you attach.

Read from the server itself, by connecting to it and calling resources/list on 24 September 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.