Gemini DeepSearch

Item: Gemini DeepSearch
Rating: 54
Author: M8ven

Performs automated multi-step web research using Google Search API and Gemini models to generate diverse search queries, conduct parallel searches, and synthesize comprehensive answers with proper source citations through configurable research depth levels.

→ alexcong/gemini-deepsearch-mcp· pypi: gemini-deepsearch-mcp· 4.2K installs· listed on pulsemcp

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// key findings

⚠️

Tool descriptions don’t match what handlers do

1 tool describes read intent but its handler mutates — deep_search (line 90: with open(file_path, 'w', encoding='utf-8') as f:)

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 1 credential: GEMINI_API_KEY

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

🔐 secretGEMINI_API_KEY— AI LANGSMITH_API_KEY=ls LANGSMITH_TRACING=true make inspect

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 7 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/gemini-deepsearch-mcp-yfzvy4)](https://m8ven.ai/mcp/gemini-deepsearch-mcp-yfzvy4)

commit: 1505d18a8fdb565f45f5709bbe0f6538b5228bef

code hash: f1716a72641c4634702471f74cff7e2585cd8bf28d976591e30823e49f9d8388

verified: 6/15/2026, 3:10:42 PM

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