general MCP Server
FastMCP 3.2 gateway for Google AI: Gemini chat, Nano Banana images, Veo video, Gemini Omni multimodal, Lyria music, TTS, embeddings — with React dashboard and Docker.
Discovered via github-topic:model-context-protocol and last synced 3mo ago.
1. Install the package
npx @anthropic-ai/mcpb install https://github.com/sandraschi/google-ai-mcp
2. Add to claude_desktop_config.json
{
"mcpServers": {
"google-ai-mcp": {
"command": "npx",
"args": [
"google-ai-mcp"
]
}
}
}Config file location: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) / %APPDATA%\Claude\claude_desktop_config.json (Windows)
Veo 3.1 Preview
generate, list_models
embed, list_models
generate, list_models
Prefab UI card
Health check all services
Model
Lyria 3 Pro / Clip
chat, list_models
tts, list_voices, list_models
Gemini 3.1 Pro, Gemma 4
generate, list_models
gemini-embedding-001
GOOGLE_API_KEY
All services fall back to mock mode when credentials are missing. Gemini Omni API is rolling out — mock mode returns placeholders until GA. ## MCP Tools
generate, list_models
Use **google-ai-mcp** for multimodal Google AI (chat, image, video, music, Omni, embeddings). Run **speech-mcp** when you need real-time voice agents — do not duplicate that stack here. ## MCP Tools (11)
Gemini TTS (one-shot)
Nano Banana 2 / Pro
google-ai-mcp
health, train_prepare, infer_prepare, surprise_stub
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Implementing and auditing GCP VPC firewall rules to enforce network segmentation, restrict ingress and egress traffic, apply hierarchical firewall policies across the organization, and monitor firewall rule effectiveness using VPC Flow Logs.
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