# Gemini 2.5 Pro

> Use this tool when you need to leverage advanced AI capabilities for content generation and model information retrieval. It solves problems related to generating high-quality content with customizable parameters and retrieving model capabilities, with features like Google Search integration and secure API key handling. The tool takes in parameters like temperature and token limits, and outputs generated content and model information, making it ideal for users seeking to harness Gemini 2.5 Pro's capabilities within a user-friendly interface.

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

## Description

Gemini MCP Server enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model through a TypeScript implementation of the Model Context Protocol. The server provides two main tools: generateWithGemini for content generation with customizable parameters like temperature and token limits, and getModelInfo for retrieving model capabilities. It features Google Search integration for grounding responses in factual information, secure API key handling through environment variables, detailed token usage reporting, and comprehensive error handling with response caching to local files for verification. Ideal for users wanting to leverage Gemini's capabilities within Claude's interface.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dakrin-gemini)
- **Repository:** <https://github.com/dakrin/mcp-gemini-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": "dakrin-gemini"
    }
  }
}
```

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