
MCP Gemini Deep Research
An MCP server that runs Google Gemini Deep Research through a signed-in Chrome session, enabling clients such as Cursor and Hermes to conduct web research and…
What it does
The specific capability behind this listing, and where to get it.
MCP Gemini Deep Research
An MCP server that runs Google Gemini Deep Research through a signed-in Chrome session, enabling clients such as Cursor and Hermes to conduct web research and…
Agentery has not yet captured structured capability detail for this provider.
Official MCP Gemini Deep Research links
Source repository available · no commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is MCP Gemini Deep Research good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
Source repository available · no commercial pricing observed.
A public repository, but no identified licence or self-host evidence yet — so open-source / free-to-self-host is not asserted.
Check capability before deciding
Compare language support, semantic depth, installation model against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
MCP Gemini Deep Research's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "mcp_gemini_deep_research",
"name": "MCP Gemini Deep Research",
"url": "https://github.com/vadim-a-yegorov/mcp-gemini-deep-research",
"logo": "https://github.com/vadim-a-yegorov.png?size=200",
"niche": null,
"category": null,
"short_summary": "An MCP server that runs Google Gemini Deep Research through a signed-in Chrome session, enabling clients such as Cursor and Hermes to conduct web research and…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing is shown; this open-source MCP server requires access to Google Gemini Deep Research through a signed-in Google account.",
"confidence": "medium",
"source_url": "https://github.com/vadim-a-yegorov/mcp-gemini-deep-research",
"checked_at": "2026-10-02T03:14:57.579Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/vadim-a-yegorov/mcp-gemini-deep-research"
],
"last_checked": null,
"how_to_connect": {
"website": "https://github.com/vadim-a-yegorov/mcp-gemini-deep-research",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [],
"install": "uvx mcp-gemini-deep-research Or install globally: pip install mcp-gemini-deep-resea",
"repository": "https://github.com/vadim-a-yegorov/mcp-gemini-deep-research"
},
"deployment": {
"model": "self_hosted",
"both_offered": false,
"hosted_endpoint": null,
"install": "uvx mcp-gemini-deep-research Or install globally: pip install mcp-gemini-deep-resea",
"note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
"evidence": {
"sources": [
"page_text:install",
"page_text:licence"
],
"excerpt": "gle 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-researc",
"url": "https://github.com/vadim-a-yegorov/mcp-gemini-deep-research",
"observed_day": "2026-10-06",
"age_days": 2,
"hosted_evidence": null,
"rule": "deploy-v1"
}
},
"licence": {
"name": "MIT",
"note": "Named licence as published; applies to the code, not to where it runs.",
"evidence": "page text: \"iles Repository files navigation README MIT license More items mcp-gemini-deep-r\"",
"observed_day": "2026-10-06",
"age_days": 2
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"price_history_available": "Pass price_history:true for this provider's dated plan prices (observation dates, original currency).",
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 2154,
"uptime_7d": 1,
"checked_at": "2026-10-08T02:40:18.776Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}