MCP server exposing Gemini Deep Research (Interactions API) tools
Project description
Gemini Deep Research MCP
An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.
One-Click Install
Cursor
Click the button, then replace your-api-key with your Gemini API key.
Installation Methods
Using npx (Node.js)
npx gemini-deep-research-mcp
VS Code config
{
"servers": {
"gemini-deep-research": {
"command": "npx",
"args": ["-y", "gemini-deep-research-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Claude Desktop config
{
"mcpServers": {
"gemini-deep-research": {
"command": "npx",
"args": ["-y", "gemini-deep-research-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Using uvx (Python)
Requires uv.
uvx gemini-deep-research-mcp
VS Code config
{
"servers": {
"gemini-deep-research": {
"command": "uvx",
"args": ["gemini-deep-research-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Claude Desktop config
{
"mcpServers": {
"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
VS Code config
{
"servers": {
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Claude Desktop config
{
"mcpServers": {
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Prerequisites
Install uv (required for npx/uvx methods)
# 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
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The following attestation bundles were made for gemini_deep_research_mcp-0.1.1-py3-none-any.whl:
Publisher:
publish.yml on bharatvansh/gemini-deep-research-mcp
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Statement:
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Statement type:
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Permalink:
bharatvansh/gemini-deep-research-mcp@decb182f186d73286f3d3ae900bc0bd230b290c0 -
Branch / Tag:
refs/tags/0.1.1 - Owner: https://github.com/bharatvansh
-
Access:
private
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@decb182f186d73286f3d3ae900bc0bd230b290c0 -
Trigger Event:
release
-
Statement type: