analyze_xhs_note — AgentPay MCP Prompt

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

by client

How to invoke analyze_xhs_note from your client

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

Other prompts on this server

• source_product_china

AgentPay also offers 1 resource — 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.