Gemini Pro

by georgejeffers

12 stars
Not rated
GitHub

About

Integrates Google's Gemini Pro model for text generation, enabling content creation, translation, and conversational capabilities.

Details

Author
georgejeffers
Repository
georgejeffers/Gemini-MCP-Server
GitHub stars
12
License
MIT License
Categories
Design, Developer Tools, AI, Frontend, Infrastructure, API
Tags
#integration

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Gemini Pro
    Command (node, npx, python, etc.) node
    Arguments
    • Argument 1 dist/gemini_mcp_server.js
    Environment
    • GEMINI_API_KEY your_api_key_here

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

To install Gemini MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @georgejeffers/gemini-mcp-server --client claude

1. Clone the repository:

git clone https://github.com/GeorgeJeffers/gemini-mcp-server.git
cd gemini-mcp-server

2. Install dependencies:

npm install

4. Build:

npm run build

generate_text

Generates text based on the input provided. This action allows users to create text outputs using the gemini server.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "gemini pro": {
            "cwd": "/path/to/mcp-gemini-server",
            "env": {
                "GEMINI_API_KEY": "your_api_key_here"
            },
            "args": [
                "dist/gemini_mcp_server.js"
            ],
            "command": "node"
        }
    }
}

Linux

{
    "cwd": "/path/to/mcp-gemini-server",
    "env": {
        "GEMINI_API_KEY": "your_api_key_here"
    },
    "args": [
        "dist/gemini_mcp_server.js"
    ],
    "command": "node"
}

Macos

{
    "cwd": "/path/to/mcp-gemini-server",
    "env": {
        "GEMINI_API_KEY": "your_api_key_here"
    },
    "args": [
        "dist/gemini_mcp_server.js"
    ],
    "command": "node"
}

Windows

{
    "cwd": "/path/to/mcp-gemini-server",
    "env": {
        "GEMINI_API_KEY": "your_api_key_here"
    },
    "args": [
        "dist/gemini_mcp_server.js"
    ],
    "command": "node"
}

gemini-mcp-server

smithery badge

A TypeScript implementation of a Model Context Protocol (MCP) server that integrates with Google's Gemini Pro model.

<a href="https://glama.ai/mcp/servers/ejwvacw7s0">
Gemini Server MCP server
</a>

MCP Tools

generate_text

From server: gemini

Prerequisites

- Node.js 18 or higher
- Google Gemini API key
- TypeScript
- Claude Desktop app

Installation

Installing via Smithery

To install Gemini MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @georgejeffers/gemini-mcp-server --client claude

Manual Installation

1. Clone the repository:
git clone https://github.com/GeorgeJeffers/gemini-mcp-server.git
cd gemini-mcp-server

2. Install dependencies:

npm install

4. Build:

npm run build

Claude Desktop Integration

To use this server with Claude Desktop:

1. Open Claude Desktop
2. Go to Settings > Developer
3. Click "Edit Config"
4. Add the following configuration:

{
  "name": "gemini",
  "command": "node",
  "args": ["dist/gemini_mcp_server.js"],
  "env": {
    "GEMINI_API_KEY": "your_api_key_here"
  },
  "cwd": "/path/to/mcp-gemini-server"
}
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