plan_training_trip — JKTJJ MCP Server MCP Prompt

plan_training_trip is one of 3 prompts on the JKTJJ MCP Server MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke plan_training_trip from your client

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

Other prompts on this server

• find_open_mat
• summarize_week_in_bjj

JKTJJ MCP Server also offers 4 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.