G
Google Gemini
Call Google Gemini models over MCP.
·No reviews yet
Share:
About
Auto-generated
Google Gemini is a Model Context Protocol server in the Developer Tools category. It lets AI assistants that speak MCP call its tools and read its resources over STDIO.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
list_resources
Enumerate resources exposed by this MCP
get_resource
Fetch a resource by ID
invoke
Invoke the primary action of this MCP
Screenshots
No screenshots yet.
Frequently Asked Questions
Common questions about Google Gemini.
- What is the Google Gemini MCP module for?
- The Google Gemini MCP module allows developers to access Google Gemini models via the Model Context Protocol. It bridges existing Gemini capabilities to the MCP ecosystem, enabling integration into various developer tools.
- How do I install the Google Gemini MCP module for use with Cline?
- Installation with Cline typically involves using the 'cline mcp install' command, followed by the module's repository URL: 'cline mcp install https://github.com/aliargun/mcp-server-gemini'. This registers the module within your Cline environment.
- Does the Google Gemini MCP module require an API key?
- Yes, this MCP module requires an API key for authentication. You will need to obtain a valid API key from Google Cloud to use the Gemini models through this MCP module.
- What are the common use cases for the Google Gemini MCP module?
- Common use cases involve integrating Google Gemini's AI capabilities into development workflows. This includes tasks such as code generation, natural language processing, content creation, and data analysis using Gemini models.
- What capabilities does the Google Gemini MCP module expose?
- The module exposes the core functionalities of Google Gemini models. While specific tools are not listed, it will enable interaction with Gemini's text generation, understanding, and other AI functionalities.
- Is there any cost associated with using the Google Gemini MCP module?
- The cost depends on the underlying Gemini service usage and Google Cloud pricing. The MCP module itself is open-source (Community Provider), but usage of the Gemini API will incur charges based on your consumption.
Install Google Gemini
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"google-gemini": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-gemini"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"google-gemini": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-gemini"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"google-gemini": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-google-gemini"
]
}
}
}Reviews
Sign in to leave a review.
No reviews yet. Be the first!
Discussion(0)
No comments yet.