future_cooling_load — EPW.tools MCP Prompt
future_cooling_load
is one of 4 prompts on the
EPW.tools
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke future_cooling_load from your client
- Claude Code EPW.tools Prompt/future_cooling_load run in your project directory
- Claude Desktop EPW.tools Prompt/future_cooling_load ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor EPW.tools Prompt/future_cooling_load ~/.cursor/mcp.json
- VS Code EPW.tools Prompt/future_cooling_load .vscode/mcp.json
- Zed EPW.tools Prompt/future_cooling_load ~/.config/zed/settings.json
- Windsurf EPW.tools Prompt/future_cooling_load ~/.codeium/windsurf/mcp_config.json
- Cline EPW.tools Prompt/future_cooling_load ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI EPW.tools Prompt/future_cooling_load ~/.gemini/settings.json
- Grok EPW.tools Prompt/future_cooling_load .mcp.json (in your project root)
- ChatGPT EPW.tools Prompt/future_cooling_load Settings → Connectors → Advanced → Developer mode
- Claude.ai EPW.tools Prompt/future_cooling_load Settings → Connectors → Add custom connector
- LangChain EPW.tools Prompt/future_cooling_load pip install langchain-mcp-adapters
Other prompts on this server
EPW.tools 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 11 November 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.