recommend_activities — jtr holidays MCP Prompt
recommend_activities
is one of 3 prompts on the
jtr holidays
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke recommend_activities from your client
- Claude Code jtr holidays Prompt/recommend_activities run in your project directory
- Claude Desktop jtr holidays Prompt/recommend_activities ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor jtr holidays Prompt/recommend_activities ~/.cursor/mcp.json
- VS Code jtr holidays Prompt/recommend_activities .vscode/mcp.json
- Zed jtr holidays Prompt/recommend_activities ~/.config/zed/settings.json
- Windsurf jtr holidays Prompt/recommend_activities ~/.codeium/windsurf/mcp_config.json
- Cline jtr holidays Prompt/recommend_activities ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI jtr holidays Prompt/recommend_activities ~/.gemini/settings.json
- Grok jtr holidays Prompt/recommend_activities .mcp.json (in your project root)
- ChatGPT jtr holidays Prompt/recommend_activities Settings → Connectors → Advanced → Developer mode
- Claude.ai jtr holidays Prompt/recommend_activities Settings → Connectors → Add custom connector
- LangChain jtr holidays Prompt/recommend_activities pip install langchain-mcp-adapters
Other prompts on this server
jtr holidays also offers 2 resources — data you attach as context, where a prompt is something you run.
Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026.
A listing does not declare its prompts, 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 prompt's arguments.