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