Developer Tools stdio

ARIS (Auto-Research-In-Sleep)

Created by wanshuiyin

Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review and refinement.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:
Fetch and configure Model Context Protocol (MCP) server ARIS (Auto-Research-In-Sleep) from https://www.fastmcp.dev/server/aris-auto-research-in-sleep

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:
https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:
claude mcp add aris-auto-research-in-sleep -- npx -y Auto-claude-code-research-in-sleep

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:
[mcp_servers.aris_auto_research_in_sleep] command = "npx" args = ["-y","Auto-claude-code-research-in-sleep"]

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:
{ "mcpServers": { "aris-auto-research-in-sleep": { "type": "stdio", "command": "npx", "args": [ "-y", "Auto-claude-code-research-in-sleep" ] } } }

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:
npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant
ARIS (Auto-Research-In-Sleep): Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review and refinement. Key capabilities: Autonomous ML Research Workflows; Iterative Paper Refinement and Narrative Rewriting; Cross-Model Review Loops with External LLMs.

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions
01 Execute autonomous machine learning experiments
02 Refine research papers through iteration
03 Validate ideas using automated analysis