gemini-mcp
by RLabs-Inc
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| QUIET | No | Minimize logging (default: false) | false |
| VERBOSE | No | Enable verbose logging (default: false) | false |
| HTTP_PROXY | No | HTTP proxy URL (optional) | |
| HTTPS_PROXY | No | HTTPS proxy URL (optional) | |
| GEMINI_MODEL | No | Override model for init test | |
| GEMINI_API_KEY | Yes | Your Google Gemini API key (required) | |
| GEMINI_PRO_MODEL | No | Pro model (default: gemini-3-pro-preview) | gemini-3-pro-preview |
| GEMINI_OUTPUT_DIR | No | Directory to save generated files (default: ./gemini-output) | ./gemini-output |
| GEMINI_FLASH_MODEL | No | Flash model (default: gemini-3-flash-preview) | gemini-3-flash-preview |
| GEMINI_IMAGE_MODEL | No | Image model (default: gemini-3-pro-image-preview) | gemini-3-pro-image-preview |
| GEMINI_TOOL_PRESET | No | Preset profile: minimal, text, image, research, media, full | |
| GEMINI_VIDEO_MODEL | No | Video model (default: veo-2.0-generate-001) | veo-2.0-generate-001 |
| GEMINI_ENABLED_TOOLS | No | Comma-separated list of tool groups to load | |
| GEMINI_IMAGE_THINKING_LEVEL | No | Default thinking level for image generation (minimal, low, medium, high) | high |
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
No tools | |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/RLabs-Inc/gemini-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server