enrich-example — shopgraph MCP Prompt

enrich-example is one of 1 prompt on the shopgraph MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke enrich-example from your client

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

shopgraph 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.