explain_term — K2 Study Decks & Algorithm MCP Prompt
explain_term
is one of 4 prompts on the
K2 Study Decks & Algorithm
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke explain_term from your client
- Claude Code K2 Study Decks & Algorithm Prompt/explain_term run in your project directory
- Claude Desktop K2 Study Decks & Algorithm Prompt/explain_term ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor K2 Study Decks & Algorithm Prompt/explain_term ~/.cursor/mcp.json
- VS Code K2 Study Decks & Algorithm Prompt/explain_term .vscode/mcp.json
- Zed K2 Study Decks & Algorithm Prompt/explain_term ~/.config/zed/settings.json
- Windsurf K2 Study Decks & Algorithm Prompt/explain_term ~/.codeium/windsurf/mcp_config.json
- Cline K2 Study Decks & Algorithm Prompt/explain_term ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI K2 Study Decks & Algorithm Prompt/explain_term ~/.gemini/settings.json
- Grok K2 Study Decks & Algorithm Prompt/explain_term .mcp.json (in your project root)
- ChatGPT K2 Study Decks & Algorithm Prompt/explain_term Settings → Connectors → Advanced → Developer mode
- Claude.ai K2 Study Decks & Algorithm Prompt/explain_term Settings → Connectors → Add custom connector
- LangChain K2 Study Decks & Algorithm Prompt/explain_term pip install langchain-mcp-adapters
Other prompts on this server
K2 Study Decks & Algorithm also offers 3 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 14 November 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.