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.
Quick Start
pip install gemini-deep-research-mcp
Set your API key:
export GEMINI_API_KEY="your-api-key" # macOS/Linux
set GEMINI_API_KEY=your-api-key # Windows CMD
$env:GEMINI_API_KEY="your-api-key" # Windows PowerShell
MCP Client Setup
VS Code (Copilot)
Add to your VS Code settings or .vscode/mcp.json:
{
"mcp": {
"servers": {
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
}
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Windows: If
gemini-deep-research-mcpisn't in PATH, use full path:C:\\Users\\YOU\\...\\python.exewith args["-m", "gemini_deep_research_mcp"]
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
Parameters:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
prompt |
string | ✓ | — | Your research question or topic |
include_citations |
boolean | true |
Include resolved source URLs |
Output:
| Field | 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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