Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default | 
|---|---|---|---|
| GEMINI_MODEL | No | Gemini model to use | gemini-2.5-flash | 
| GEMINI_API_KEY | Yes | Your Google AI Studio API key | |
| GEMINI_TIMEOUT | No | Request timeout in milliseconds (default: 300000 = 5 minutes) | 300000 | 
| GEMINI_MAX_FILES | No | Maximum number of files per request | 10 | 
| GEMINI_TEMPERATURE | No | Temperature for generation (0-2). Lower values produce more focused responses, higher values more creative ones | 0.2 | 
| GEMINI_MAX_OUTPUT_TOKENS | No | Maximum output tokens | 8192 | 
| GEMINI_MAX_TOTAL_FILE_SIZE | No | Maximum total file size in MB | 50 | 
Schema
Prompts
Interactive templates invoked by user choice
| Name | Description | 
|---|---|
No prompts  | |
Resources
Contextual data attached and managed by the client
| Name | Description | 
|---|---|
No resources  | |
Tools
Functions exposed to the LLM to take actions
| Name | Description | 
|---|---|
| generate_content | Generate content using Gemini with optional file inputs, code execution, and Google search. Supports multiple files: images (JPG, PNG, GIF, WebP, SVG, BMP, TIFF), video (MP4, AVI, MOV, WebM, FLV, MPG, WMV), audio (MP3, WAV, AIFF, AAC, OGG, FLAC), documents (PDF), and text files (TXT, MD, JSON, XML, CSV, HTML). MIME type is auto-detected from file extension. Example usage: {
  "user_prompt": "Analyze this video",
  "files": [
    {
      "path": "/path/to/video.mp4"
    }
  ]
} PDF to Markdown conversion: {
  "user_prompt": "Convert this PDF to well-formatted Markdown, preserving structure and formatting",
  "files": [
    {"path": "/document.pdf"}
  ]
} With Google Search: {
  "user_prompt": "What are the latest AI breakthroughs in 2024?",
  "enable_google_search": true
} With Code Execution: {
  "user_prompt": "Write and run a Python script to calculate prime numbers up to 100",
  "enable_code_execution": true
} Combining features with thinking mode: {
  "user_prompt": "Research quantum computing and create a Python simulation",
  "model": "gemini-2.5-pro",
  "enable_google_search": true,
  "enable_code_execution": true,
  "thinking_budget": -1
}  |