Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-gemini-deep-research Research the impact of AI on healthcare and produce a cited report."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP Server for Google Gemini Deep Research via live Chrome cookies (no API key required).
uvx mcp-gemini-deep-researchOr install globally:
pip install mcp-gemini-deep-researchRelated MCP server: Gemini Research MCP Server
Run as an MCP server (stdio):
mcp-gemini-deep-researchConfigure in your MCP client (e.g., Hermes, Cursor, etc.):
{
"mcpServers": {
"gemini-deep-research": {
"command": "uvx",
"args": ["mcp-gemini-deep-research"]
}
}
}Python 3.11+
Google Chrome signed into a Google account with access to Gemini Deep Research
macOS, Windows, or Linux
This server uses your live Chrome session cookies (__Secure-1PSID, __Secure-1PSIDTS) to authenticate with Google's Gemini web API — no API key needed. It runs the real autonomous Deep Research agent that plans, searches the web, reads sources, and synthesizes a cited report over several minutes.
gemini_deep_research(query: str, timeout: int = 600) — Run a deep research investigation. Returns a JSON report with ok, report (markdown), sources, elapsed_s, research_id, report_path, and stalled flag.
MIT
This server cannot be deployed
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