Deep Research MCP

Example Use Cases

• 1

  Perform multi-hour, complex research tasks integrating multiple AI providers.

• 2

  Clarification workflows to improve research query quality through follow-up questions.

• 3

  Seamless integration with Claude Code, OpenAI Codex, or Gemini CLI via MCP.

Description

Deep Research MCP is a Python agent that connects research providers like OpenAI, Gemini Deep Research, and Open Deep Research with Claude Code via the Model Context Protocol (MCP). It supports various APIs and models, enabling complex, multi-hour research workflows with optional clarification features to improve query quality. The server can run as a standalone Python module or as an MCP server with stdio or HTTP streaming transports, facilitating integration with Claude Code, OpenAI Codex, and Gemini CLI.