# Gemini MCP Server

> Use this tool when you need to engage in multi-turn conversations with Google Gemini AI models, analyzing files and images, and leveraging Google Search integration. It solves problems related to complex query resolution, image and file analysis, and automated model selection, providing a robust interface for inputs like text, files, and images, and outputs like contextual responses and insights. Ideal for applications requiring in-depth conversations and analysis, such as customer support, research, and data-driven decision making.

Canonical page: https://skillsregistry.net/skills/xumingjun5208-aistudio-gemini-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xumingjun5208-aistudio-gemini-mcp

## Description

Enables multi-turn conversations with Google Gemini AI models, supporting file and image analysis, automatic model selection, deep thinking mode, and Google Search integration through the AIStudioProxyAPI backend.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/shc3a9dep6)
- **Repository:** <https://github.com/xumingjun5208/aistudio-gemini-mcp>

## 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": "xumingjun5208-aistudio-gemini-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xumingjun5208-aistudio-gemini-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xumingjun5208-aistudio-gemini-mcp/pull`

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