Server Configuration
Describes the environment variables required to run the server.
Name | Required | Description | Default |
---|---|---|---|
NODE_ENV | No | Environment mode (production or development) | production |
LOG_LEVEL | No | Logging level (error, warn, info, debug) | info |
ENABLE_METRICS | No | Enable performance metrics | false |
GEMINI_API_KEY | Yes | Google AI Studio API Key for accessing Gemini models | |
REQUEST_TIMEOUT | No | Request timeout in milliseconds (30000 = 30 seconds) | 30000 |
RATE_LIMIT_WINDOW | No | Time window in ms (60000 = 1 minute) | 60000 |
RATE_LIMIT_ENABLED | No | Enable/disable rate limiting | true |
RATE_LIMIT_REQUESTS | No | Max requests per window | 100 |
Schema
Prompts
Interactive templates invoked by user choice
Name | Description |
---|---|
code_review | Comprehensive code review with Gemini 2.5 Pro |
explain_with_thinking | Deep explanation using Gemini 2.5 thinking capabilities |
creative_writing | Creative writing with style control |
Resources
Contextual data attached and managed by the client
Name | Description |
---|---|
Available Gemini Models | List of all available Gemini models and their capabilities |
API Capabilities | Detailed information about Gemini API capabilities |
Usage Guide | Complete guide on using all tools and features |
Parameters Reference | Detailed documentation of all parameters |
Examples | Example usage patterns for common tasks |
Tools
Functions exposed to the LLM to take actions
Name | Description |
---|---|
generate_text | Generate text using Google Gemini with advanced features |
analyze_image | Analyze images using Gemini vision capabilities |
count_tokens | Count tokens for a given text with a specific model |
list_models | List all available Gemini models and their capabilities |
embed_text | Generate embeddings for text using Gemini embedding models |
get_help | Get help and usage information for the Gemini MCP server |