plan_kujo_adoption — Kujolang.ai MCP MCP Prompt

plan_kujo_adoption is one of 3 prompts on the Kujolang.ai MCP MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke plan_kujo_adoption from your client

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

Other prompts on this server

• choose_kujo_stack
• discover_webops

Kujolang.ai MCP also offers 6 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 30 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.