mcp-gemini-deep-research
Gemini (webapi) Deep Research MCP server.
Install / Use
claude mcp add vadim-a-yegorov -- npx -y github:vadim-a-yegorov/mcp-gemini-deep-researchIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Education & ResearchSupported Platforms
Our assessment of mcp-gemini-deep-research
mcp-gemini-deep-research scores 63/100 on our quality scale, 423rd of 445 Education & Research skills we index.
Its MCP Server is 1.2 KB long, split into 7 sections with 4 code examples: moderately detailed.
It has 3 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 3 months ago, so mcp-gemini-deep-research is actively maintained.
- Our last check on 2026-09-20 found the source still online.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 87/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-29. Automated pattern scan on 2026-09-29. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
mcp-gemini-deep-research compared with similar skills
All 4 of these similar skills score higher than mcp-gemini-deep-research; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| mcp-gemini-deep-research (this skill)by vadim-a-yegorov | 63 | 3 | 3mo ago | MCP Server |
| Agent-Reachby Panniantong | 100 | 108.9k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| last30days-skillby mvanhorn | 100 | 66.6k | 1d ago | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
Frequently asked questions
- How do I install mcp-gemini-deep-research?
- Run
claude mcp add vadim-a-yegorov -- npx -y github:vadim-a-yegorov/mcp-gemini-deep-research. The install tabs above show the steps for each supported agent. - Which AI agents does mcp-gemini-deep-research work with?
- It is written for Claude Code, Claude Desktop, Cursor and Gemini CLI, as a MCP Server file. Other agents that read the same format can often use it too.
- Is mcp-gemini-deep-research safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is MIT-licensed and scores 87/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is mcp-gemini-deep-research still maintained?
- The repository was last updated about 3 months ago, so mcp-gemini-deep-research is actively maintained.
Skill content
View source on GitHubmcp-gemini-deep-research
MCP Server for Google Gemini Deep Research via live Chrome cookies (no API key required).
Installation
uvx mcp-gemini-deep-research
Or install globally:
pip install mcp-gemini-deep-research
Usage
Run as an MCP server (stdio):
mcp-gemini-deep-research
Configure in your MCP client (e.g., Hermes, Cursor, etc.):
{
"mcpServers": {
"gemini-deep-research": {
"command": "uvx",
"args": ["mcp-gemini-deep-research"]
}
}
}
Requirements
- Python 3.11+
- Google Chrome signed into a Google account with access to Gemini Deep Research
- macOS, Windows, or Linux
How it works
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.
Tool
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.
License
MIT
Related Skills
Agent-Reach
108.9kGive your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
headroom
78.9kCompress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
last30days-skill
66.6kAI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
CowAgent
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
