recommend_pool — Laguna Pools MCP Prompt

recommend_pool is one of 2 prompts on the Laguna Pools MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke recommend_pool from your client

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

Other prompts on this server

• calculate_project

Laguna Pools also offers 3 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.