# Gemini MCP Server

> Use this tool when you need to leverage Google's Gemini API for advanced natural language processing and analysis. It provides 23 tools for tasks such as chat, multimodal analysis, and YouTube analysis, solving problems related to information retrieval and insights generation. With natural language inputs, it outputs relevant data and insights, making it ideal for applications requiring deep research and file management capabilities.

Canonical page: https://skillsregistry.net/skills/salviz-gemini-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/salviz-gemini-mcp-server

## Description

Provides 23 tools for Google's Gemini API, enabling chat, multimodal analysis, deep research, file management, and YouTube analysis via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ej2r9ddx8x)
- **Repository:** <https://github.com/salviz/gemini-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": "salviz-gemini-mcp-server"
    }
  }
}
```

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

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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