# Vertex AI Gemini

> Use this tool when you need to integrate high-quality AI responses into your application, leveraging Google Cloud's Vertex AI Gemini models for web search grounding, direct knowledge answering, and documentation-based responses. It solves problems such as providing accurate and reliable answers to user queries, and supports configurable parameters for model selection and output customization. With streaming API support and basic retry logic, it's ideal for developers seeking robust and responsive AI-powered solutions.

Canonical page: https://skillsregistry.net/skills/vertex-ai-gemini  
JSON: https://api.skillsregistry.net/v1/skills/vertex-ai-gemini

## Description

Vertex AI MCP Server provides a bridge to Google Cloud's Vertex AI Gemini models through a TypeScript implementation that supports web search grounding, direct knowledge answering, and documentation-based responses. The server exposes tools like answer_query_websearch, answer_query_direct, and answer_doc_query, with configurable parameters for model selection, temperature, and output tokens. It features streaming API support for better responsiveness, basic retry logic for handling transient errors, and minimal safety filters to reduce potential blocking, making it valuable for developers seeking high-quality AI responses with the reliability of Google's infrastructure.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vertex-ai-gemini)
- **Repository:** <https://github.com/shariqriazz/vertex-ai-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vertex-ai-gemini"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vertex-ai-gemini` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vertex-ai-gemini/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt