research_plan — AgentMaru · Korean data and research MCP Prompt
research_plan
is one of 1 prompt on the
AgentMaru · Korean data and research
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke research_plan from your client
- Claude Code AgentMaru · Korean data and research Prompt/research_plan run in your project directory
- Claude Desktop AgentMaru · Korean data and research Prompt/research_plan ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor AgentMaru · Korean data and research Prompt/research_plan ~/.cursor/mcp.json
- VS Code AgentMaru · Korean data and research Prompt/research_plan .vscode/mcp.json
- Zed AgentMaru · Korean data and research Prompt/research_plan ~/.config/zed/settings.json
- Windsurf AgentMaru · Korean data and research Prompt/research_plan ~/.codeium/windsurf/mcp_config.json
- Cline AgentMaru · Korean data and research Prompt/research_plan ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI AgentMaru · Korean data and research Prompt/research_plan ~/.gemini/settings.json
- Grok AgentMaru · Korean data and research Prompt/research_plan .mcp.json (in your project root)
- ChatGPT AgentMaru · Korean data and research Prompt/research_plan Settings → Connectors → Advanced → Developer mode
- Claude.ai AgentMaru · Korean data and research Prompt/research_plan Settings → Connectors → Add custom connector
- LangChain AgentMaru · Korean data and research Prompt/research_plan pip install langchain-mcp-adapters
AgentMaru · Korean data and research 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.