iterative_image_refine — openFlow MCP Prompt

iterative_image_refine is one of 5 prompts on the openFlow MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke iterative_image_refine from your client

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

Other prompts on this server

• ugc_character_video
• character_turnaround
• character_expression_sheet
• scene_multi_camera

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.