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