score_my_agent — operant-mcp MCP Prompt

score_my_agent is one of 1 prompt on the operant-mcp MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke score_my_agent from your client

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

operant-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.