Gemini 2.5 Pro
About
Enables Claude Desktop to interact with Google's Gemini 2.5 Pro model through a TypeScript server with Google Search integration for grounded responses and detailed token usage reporting.
Details
- Author
- dakrin
- Repository
- dakrin/mcp-gemini-server
- GitHub stars
- 4
- Categories
- Developer Tools, Design, File Management, AI, Search, API, Infrastructure, Knowledge Base
- Tags
- #integration
Jump to
- Full MCP protocol support
- Google Gemini 2.5 Pro Experimental model access
- Secure API key handling
- Google Search integration (optional)
- Token usage reporting
- TypeScript implementation
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:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Gemini 2.5 ProCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
generateWithGemini
Generate content with Google Gemini 2.5 Pro Experimental. Parameters: prompt (string, required), temperature (number, optional), maxTokens (number, optional), safeMode (boolean, optional), useSearch (boolean, optional)
getModelInfo
Get information about the Gemini model being used.
The MCP server provides the following tools:
1. generateWithGemini - Generate content with Google Gemini 2.5 Pro Experimental
- Parameters:
- prompt (string, required): The prompt to send to Gemini
- temperature (number, optional): Temperature setting (0.0 to 1.0)
- maxTokens (number, optional): Maximum output tokens
- safeMode (boolean, optional): Enable safe mode for sensitive topics
- useSearch (boolean, optional): Enable Google Search grounding tool
2. getModelInfo - Get information about the Gemini model being used
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"gemini 2.5 pro": {
"env": {},
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
}
}Linux
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Macos
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@highlight/mcp-server"
],
"command": "cmd"
}Gemini MCP Server
Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model.
Features
- Full MCP protocol support
- Google Gemini 2.5 Pro Experimental model access
- Secure API key handling
- Google Search integration (optional)
- Token usage reporting
- TypeScript implementation
Available Tools
The MCP server provides the following tools:
1. generateWithGemini - Generate content with Google Gemini 2.5 Pro Experimental
- Parameters:
- prompt (string, required): The prompt to send to Gemini
- temperature (number, optional): Temperature setting (0.0 to 1.0)
- maxTokens (number, optional): Maximum output tokens
- safeMode (boolean, optional): Enable safe mode for sensitive topics
- useSearch (boolean, optional): Enable Google Search grounding tool
2. getModelInfo - Get information about the Gemini model being used
Common Issues
1. Connection Issues
- Check that you have a valid API key
Security
- API keys are handled via environment variables only
- No sensitive data is logged or stored
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