Gemini Deep Research MCP
An MCP server that exposes Gemini's Deep Research Agent for comprehensive web research.
Quick Start
# Recommended (zero-install)
uvx gemini-deep-research-mcp
# Or install globally
pip install gemini-deep-research-mcp
gemini-deep-research-mcp
Requires: uv for uvx method
One-Click Install
| IDE | Install |
|---|---|
| Cursor | |
| VS Code | |
| VS Code Insiders |
Note: After clicking, replace
your-api-keywith your Gemini API key. VS Code requires version 1.101+.
Installation Methods
Using uvx (Recommended)
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"
}
}
}
}
Windsurf config
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"
}
}
}
}
Cline config
{
"mcpServers": {
"gemini-deep-research": {
"command": "uvx",
"args": ["gemini-deep-research-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Claude Code config
Add to ~/.claude/settings.json:
{
"mcpServers": {
"gemini-deep-research": {
"command": "uvx",
"args": ["gemini-deep-research-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Codex config
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"
Cursor config
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"gemini-deep-research": {
"command": "uvx",
"args": ["gemini-deep-research-mcp"],
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Antigravity config
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
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"
}
}
}
}
Windsurf config
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"
}
}
}
}
Cline config
{
"mcpServers": {
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Claude Code config
Add to ~/.claude/settings.json:
{
"mcpServers": {
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Codex config
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"
Cursor config
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
}
Antigravity config
Add to your Antigravity mcp_config.json:
{
"gemini-deep-research": {
"command": "gemini-deep-research-mcp",
"env": {
"GEMINI_API_KEY": "your-api-key"
}
}
}
Prerequisites
Install uv (required for uvx method)
# 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"
Tools
1. start_deep_research
Initiates a deep, multi-step web research job in the background using Google's Deep Research Agent. Returns a job_id, which you can use to check the status of completion using check_deep_research(job_id=...).
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
prompt |
string | ✓ | — | Your comprehensive research question or topic |
| Output | Description |
|---|---|
job_id |
Unique tracking ID for the research job |
status |
Initial job state (e.g. in_progress) |
2. check_deep_research
Checks the status of a Deep Research job using its job_id and returns the complete report once finished.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
job_id |
string | ✓ | — | The research tracking ID from start_deep_research |
include_citations |
boolean | true |
Include source URLs in the report |
| Output | Description |
|---|---|
job_id |
The tracking ID of the research job |
status |
Exact current job state (in_progress, completed, failed, or cancelled) |
report_text |
Synthesized markdown research report (when completed) |
uptime |
Elapsed time while the job is in progress, when available |
error |
Failure details, when the API provides them |
Configuration
| Variable | Required | Default | Description |
|---|---|---|---|
GEMINI_API_KEY |
✓ | — | Your Gemini API key |
GEMINI_DEEP_RESEARCH_AGENT |
deep-research-preview-04-2026 |
Deep Research agent to use. Set to deep-research-max-preview-04-2026 for maximum thoroughness, or deep-research-preview-04-2026 for standard speed. |
Links
License
MIT
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file gemini_deep_research_mcp-0.2.0.tar.gz.
File metadata
- Download URL: gemini_deep_research_mcp-0.2.0.tar.gz
- Upload date:
- Size: 14.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
22e9a76eabfb17b642e2b514a06c6edf8269c4b929a30170d4374ac06057db8f
|
|
| MD5 |
61cfba2136b0b7ef32c912eaa9eba347
|
|
| BLAKE2b-256 |
4049c43b055b169def5cb6832414d9cff37af7a9bb85071239147a9e1b124556
|
Provenance
The following attestation bundles were made for gemini_deep_research_mcp-0.2.0.tar.gz:
Publisher:
publish.yml on bharatvansh/gemini-deep-research-mcp
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
gemini_deep_research_mcp-0.2.0.tar.gz -
Subject digest:
22e9a76eabfb17b642e2b514a06c6edf8269c4b929a30170d4374ac06057db8f - Sigstore transparency entry: 2543988263
- Sigstore integration time:
-
Permalink:
bharatvansh/gemini-deep-research-mcp@b8f2801865f0f1802d77fcf222d1fd9f3ab2dade -
Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/bharatvansh
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@b8f2801865f0f1802d77fcf222d1fd9f3ab2dade -
Trigger Event:
release
-
Statement type:
File details
Details for the file gemini_deep_research_mcp-0.2.0-py3-none-any.whl.
File metadata
- Download URL: gemini_deep_research_mcp-0.2.0-py3-none-any.whl
- Upload date:
- Size: 11.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c5193de736406ddc1c4efd5fcabc4c49ff590cda2a2a3e845778b8e741d604b9
|
|
| MD5 |
fa9996257d4a644a6ed0ef15269a139a
|
|
| BLAKE2b-256 |
0b9165e04394ee7b2617187260067e2b206ec281721605ea2c9eb390b9699c05
|
Provenance
The following attestation bundles were made for gemini_deep_research_mcp-0.2.0-py3-none-any.whl:
Publisher:
publish.yml on bharatvansh/gemini-deep-research-mcp
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
gemini_deep_research_mcp-0.2.0-py3-none-any.whl -
Subject digest:
c5193de736406ddc1c4efd5fcabc4c49ff590cda2a2a3e845778b8e741d604b9 - Sigstore transparency entry: 2543988342
- Sigstore integration time:
-
Permalink:
bharatvansh/gemini-deep-research-mcp@b8f2801865f0f1802d77fcf222d1fd9f3ab2dade -
Branch / Tag:
refs/tags/v0.2.0 - Owner: https://github.com/bharatvansh
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@b8f2801865f0f1802d77fcf222d1fd9f3ab2dade -
Trigger Event:
release
-
Statement type: