Vertex MCP Search

Item: Vertex MCP Search
Rating: 71
Author: M8ven

A Model Context Protocol server that uses Google Vertex AI and Gemini 3.5 Flash to perform deep research with high thinking capability and live Google Search grounding, enabling intelligent, multi-source research via a single tool.

→ leacvikas0/vertex-mcp-search · listed on glama

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Glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

🔐

You'll be asked for 2 credentials: GEMINI_API_KEY, GOOGLE_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.

configGEMINI_WORKER_HOST

configGEMINI_WORKER_PORT

configGEMINI_WORKER_START_TIMEOUT_SECONDS

configGEMINI_WORKER_REQUEST_TIMEOUT_SECONDS

configGEMINI_WORKER_LOG_DIR

configGEMINI_AUTH_MODE

configGOOGLE_CLOUD_PROJECT— funding-vikas

configGOOGLE_APPLICATION_CREDENTIALS— C:\Users\silen\AppData\Roaming\gcloud\application_default_credentials.json

configGOOGLE_PROJECT_ID

configGCP_PROJECT

configGOOGLE_CLOUD_LOCATION

configGOOGLE_CLOUD_REGION

🔐 secretGEMINI_API_KEY

🔐 secretGOOGLE_API_KEY

// 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 4 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/leacvikas0-vertex-mcp-search-1xiid2)](https://m8ven.ai/mcp/leacvikas0-vertex-mcp-search-1xiid2)

commit: ba70a88901d1f7603ff7623213f5e369636f9e07

code hash: 40300f81d27f6d6c3a9bb178de83285e48cb6e52cfd42b0d8ec79bb890ef5597

verified: 7/7/2026, 9:56:37 AM

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