reportflow_help — Re:port Flow MCP MCP Prompt
reportflow_help
is one of 3 prompts on the
Re:port Flow MCP
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke reportflow_help from your client
- Claude Code Re:port Flow MCP Prompt/reportflow_help run in your project directory
- Claude Desktop Re:port Flow MCP Prompt/reportflow_help ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Re:port Flow MCP Prompt/reportflow_help ~/.cursor/mcp.json
- VS Code Re:port Flow MCP Prompt/reportflow_help .vscode/mcp.json
- Zed Re:port Flow MCP Prompt/reportflow_help ~/.config/zed/settings.json
- Windsurf Re:port Flow MCP Prompt/reportflow_help ~/.codeium/windsurf/mcp_config.json
- Cline Re:port Flow MCP Prompt/reportflow_help ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Re:port Flow MCP Prompt/reportflow_help ~/.gemini/settings.json
- Grok Re:port Flow MCP Prompt/reportflow_help .mcp.json (in your project root)
- ChatGPT Re:port Flow MCP Prompt/reportflow_help Settings → Connectors → Advanced → Developer mode
- Claude.ai Re:port Flow MCP Prompt/reportflow_help Settings → Connectors → Add custom connector
- LangChain Re:port Flow MCP Prompt/reportflow_help pip install langchain-mcp-adapters
Other prompts on this server
Re:port Flow MCP also offers 2 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.