scene_multi_camera — openFlow MCP Prompt

scene_multi_camera 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 scene_multi_camera from your client

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

Other prompts on this server

• ugc_character_video
• character_turnaround
• character_expression_sheet
• iterative_image_refine

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.