deep-research-mcp Skill

How to use deep-research-mcp Skill

uv run python cli/deep-research-cli.py \
  --provider gemini \
  --model deep-research-preview-04-2026 \
  --base-url https://generativelanguage.googleapis.com \
  research "What is the capital of France?"

{
  "mcpServers": {
    "deep-research": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/deep-research-mcp", "deep-research-mcp"],
      "env": {
        "RESEARCH_PROVIDER": "gemini",
        "GEMINI_API_KEY": "$GEMINI_API_KEY"
      }
    }
  }
}

What is deep-research-mcp Skill?

deep-research-mcp is a Python AI agent skill for Cursor, Codex with uvx/pip, remote URL. MCP server for OpenAI's Deep Research APIs, Gemini Deep Research Agent, Allen AI's DR-Tulu, and Hugging Face's Open Deep Research This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Key capabilities

• Reusable instructions support
• Includes SKILL.md support
• Shell commands support
• Document generation support
• OpenAI provider support
• Anthropic provider support
• Google provider support

Technical details

Install or run deep-research-mcp using uvx/pip. Check pminervini/deep-research-mcp for the latest setup command.

• Built for Python
• Install or run with uvx/pip
• Install or run with remote URL
• Works with Cursor
• Works with Codex
• Uses stdio transport
• Uses HTTP transport
• Uses SSE transport

Requirements and access

Security and permissions

Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.

When to use deep-research-mcp Skill

• Use it for reusing agent instructions, scripts, and references.
• Use it for agent skills workflows.
• Use it for coding workflows.
• Use it for data workflows.
• Use it for cursor users.

Built with

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