This MCP server integrates Google's Gemini 3 models with Claude Code, facilitating collaboration between the two AI systems.
From the registry: Gemini 3 MCP server with 30+ tools: images, video, research, TTS, code exec & CLI
Please install the `gemini-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Gemini API key** — Free from Google AI Studio (https://aistudio.google.com/apikey)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","@rlabs-inc/gemini-mcp"]
- required environment variables:
- `GEMINI_API_KEY`: Google Gemini API key (example: `<your-gemini-api-key>`)
- optional environment variables:
- `GEMINI_OUTPUT_DIR`: Where to save generated files (example: `./gemini-output`)
- `GEMINI_TOOL_PRESET`: Tool preset: minimal, text, image, research, media, full (example: `full`)
- `GEMINI_ENABLED_TOOLS`: Comma-separated tool groups to load (example: `query,search,image-gen`)
- `VERBOSE`: Enable verbose logging (example: `false`)
Note: 37 tools for Gemini 3 including deep research, video (Veo), image gen, TTS, document analysis, and more. Use GEMINI_TOOL_PRESET to reduce tool count.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.GEMINI_API_KEYrequiredYour Google Gemini API key.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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