analyze_brand — Resonance Reward Agent MCP Prompt

analyze_brand is one of 8 prompts on the Resonance Reward Agent MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke analyze_brand from your client

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

Other prompts on this server

• explore_category
• user_activity
• setup_brand
• network_overview
• compare_brands
• personalized_shopping
• optimize_purchase

Resonance Reward Agent also offers 4 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.