# Gemini Pro

> Use this tool when you need to integrate Google's Gemini Pro model into MCP-compatible applications for tasks like content generation, language translation, and conversational AI. It provides a standardized interface for leveraging Gemini's text generation capabilities, simplifying setup and integration via Claude Desktop. The Gemini Pro server takes in input via the Model Context Protocol and outputs generated text, making it a suitable solution for developers seeking to harness Gemini's AI capabilities without directly interacting with the Gemini API.

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

## Description

This TypeScript-based MCP server, developed by GeorgeJeffers, integrates Google's Gemini Pro model with the Model Context Protocol. Built using the @modelcontextprotocol/sdk and @google/generative-ai libraries, it provides a standardized interface for leveraging Gemini's text generation capabilities. The implementation focuses on simplicity and ease of integration, offering straightforward setup via Claude Desktop. It's particularly useful for developers looking to incorporate Gemini's AI capabilities into MCP-compatible applications, enabling use cases such as content generation, language translation, and conversational AI without directly dealing with the complexities of the Gemini API.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

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

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