How do I install Gemini Deep Research MCP?

Run npx gemini-deep-research-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Gemini Deep Research MCP safe to use with an AI agent?

Its trust score is 53 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Gemini Deep Research MCP still maintained?

Yes — the latest release is v0.2.0 (21 Aug 2026), and the last commit was 7 months ago. The repository has 1 stars and 0 open issues.

About Gemini Deep Research MCP

Gemini Deep Research MCP is an MCP server published by bharatvansh in the Developer Tools category: this MCP server that brings Gemini's Deep Research Agent to the AI coding assistants. This provides ai assistant with very high quality deep web research. Ai coding assisstant when doing deep research on their own easily fill up their context size, but gemini makes it very very efficient. the only n. It has been installed 0 times through Conduid.

The repository has 1 stars and 0 forks, with the last commit 7 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

npx gemini-deep-research-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Releases

v0.2.0v0.2.0 · 21 Aug 2026🚀 What's New in v0.2.0 ⚡ Non-Blocking Async MCP Tools Split the previous blocking research tool into two asynchronous MCP tools to prevent client timeouts during long research jobs: `start_deep_research`**: Dispatches the research task and…

v0.1.4v0.1.4 · 18 Jun 2026Updated the deep research model to latest available from google.

v0.1.3v0.1.3 · 4 Feb 2026

0.1.20.1.2 · 2 Feb 2026

0.1.10.1.1 · 2 Feb 2026

README

Gemini Deep Research MCP

An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.

One-Click Install

IDE	Install
Cursor
VS Code
VS Code Insiders

Note: After clicking, replace your-api-key with your Gemini API key. VS Code requires version 1.101+.

Installation Methods

Using npx (Node.js)

Requires Node.js 16+ and uv.

npx @bharatvansh/gemini-deep-research-mcp

{
  "servers": {
    "gemini-deep-research": {
      "command": "npx",
      "args": ["-y", "@bharatvansh/gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "npx",
      "args": ["-y", "@bharatvansh/gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json (macOS/Linux) or %USERPROFILE%\.codeium\windsurf\mcp_config.json (Windows):

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "npx",
      "args": ["-y", "@bharatvansh/gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "npx",
      "args": ["-y", "@bharatvansh/gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "npx",
      "args": ["-y", "@bharatvansh/gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.codex/config.toml:

[mcp_servers.gemini-deep-research]
command = "npx"
args = ["-y", "@bharatvansh/gemini-deep-research-mcp"]

[mcp_servers.gemini-deep-research.env]
GEMINI_API_KEY = "your-api-key"

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "npx",
      "args": ["-y", "@bharatvansh/gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to your Antigravity mcp_config.json:

{
  "gemini-deep-research": {
    "command": "npx",
    "args": ["-y", "@bharatvansh/gemini-deep-research-mcp"],
    "env": {
      "GEMINI_API_KEY": "your-api-key"
    }
  }
}

Using uvx (Python)

Requires uv.

uvx gemini-deep-research-mcp

{
  "servers": {
    "gemini-deep-research": {
      "command": "uvx",
      "args": ["gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "uvx",
      "args": ["gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json (macOS/Linux) or %USERPROFILE%\.codeium\windsurf\mcp_config.json (Windows):

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "uvx",
      "args": ["gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "uvx",
      "args": ["gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "uvx",
      "args": ["gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.codex/config.toml:

[mcp_servers.gemini-deep-research]
command = "uvx"
args = ["gemini-deep-research-mcp"]

[mcp_servers.gemini-deep-research.env]
GEMINI_API_KEY = "your-api-key"

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "uvx",
      "args": ["gemini-deep-research-mcp"],
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to your Antigravity mcp_config.json:

{
  "gemini-deep-research": {
    "command": "uvx",
    "args": ["gemini-deep-research-mcp"],
    "env": {
      "GEMINI_API_KEY": "your-api-key"
    }
  }
}

Using pip

pip install gemini-deep-research-mcp

{
  "servers": {
    "gemini-deep-research": {
      "command": "gemini-deep-research-mcp",
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "gemini-deep-research-mcp",
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json (macOS/Linux) or %USERPROFILE%\.codeium\windsurf\mcp_config.json (Windows):

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "gemini-deep-research-mcp",
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "gemini-deep-research-mcp",
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "gemini-deep-research-mcp",
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to ~/.codex/config.toml:

[mcp_servers.gemini-deep-research]
command = "gemini-deep-research-mcp"

[mcp_servers.gemini-deep-research.env]
GEMINI_API_KEY = "your-api-key"

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "gemini-deep-research": {
      "command": "gemini-deep-research-mcp",
      "env": {
        "GEMINI_API_KEY": "your-api-key"
      }
    }
  }
}

Add to your Antigravity mcp_config.json:

{
  "gemini-deep-research": {
    "command": "gemini-deep-research-mcp",
    "env": {
      "GEMINI_API_KEY": "your-api-key"
    }
  }
}

Antigravity

Open the Agent side panel → click ... → MCP Store
Search for your MCP server or click Add Custom Server
Add this configuration to your mcp_config.json:

{
  "gemini-deep-research": {
    "command": "uvx",
    "args": ["gemini-deep-research-mcp"],
    "env": {
      "GEMINI_API_KEY": "your-api-key"
    }
  }
}

Prerequisites

# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# Windows (PowerShell)
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Tool: `gemini_deep_research`

Conducts comprehensive web research using Gemini's Deep Research Agent. Blocks until research completes (typically 10-20 minutes).

When to use:

Complex topics requiring multi-source analysis
Synthesized information from the web
Fact-checking and cross-referencing

Parameter	Type	Required	Default	Description
`prompt`	string	✓	—	Your research question or topic
`include_citations`	boolean		`true`	Include resolved source URLs

Output	Description
`status`	`completed`, `failed`, or `cancelled`
`report_text`	Synthesized research report

Configuration

Variable	Required	Default	Description
`GEMINI_API_KEY`	✓	—	Your Gemini API key
`GEMINI_DEEP_RESEARCH_AGENT`		`deep-research-pro-preview-12-2025`	Model to use

Development

git clone https://github.com/bharatvansh/gemini-deep-research-mcp.git
cd gemini-deep-research-mcp
pip install -e .[dev]
pytest

License

MIT

Read full README

README mirrored from the source repository yesterday. The original is authoritative.

About Gemini Deep Research MCP

Install

Ask AI

Security checks

Releases

README

Gemini Deep Research MCP

One-Click Install

Installation Methods

Using npx (Node.js)

Using uvx (Python)

Using pip

Antigravity

Prerequisites

Tool: gemini_deep_research

Configuration

Development

License

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About Gemini Deep Research MCP

Tool: `gemini_deep_research`