data-ai MCP Server
Full-featured MCP server for Google Gemini. multiple tools: text generation with thinking mode, code review, web search with citations, RAG document search, native image generation (4K), Veo 3.1 video with audio, text-to-speech with 30 voices and others. Works with Claude Code
Discovered via github-topic:mcp and last synced 3mo ago.
1. Install the package
pip install omni-ai-mcp
Text generation with thinking mode, multi-turn, dual storage (local/cloud)
Autonomous 5-60 min research, 40+ sources, structured report
Veo 3.1 — 4-8s with native audio (dialogue, effects, ambient)
`gemini-3.1-pro-preview`
Security, performance, and quality analysis
30 natural voices, multi-speaker dialogue
`gemini-3.5-flash`
—
`50`
"second opinion", "verify with Gemini", "stress test this"
Creative ideation with 6 methodologies (SCAMPER, TRIZ, etc.)
Query documents with citations
Example Model ID
`gemini-3.1-pro-preview`
`~/.omni-ai-mcp`
Notes
Devil's advocate — find flaws in ideas, plans, and code
Create document stores
List history: title, mode, turns, last activity
`openai/gpt-4o`
`gemini-3.5-flash`
`text`
Varies by character count
Upload PDF, DOCX, code, etc.
Delete by ID or title (partial match)
`meta-llama/llama-3.3-70b-instruct`
`deep-research-preview-04-2026`
—
Per-model pricing — see [openrouter.ai/models](https://openrouter.ai/models)
Description
Whole-codebase analysis up to 1M tokens / 5MB
List available stores
Ask any AI: Gemini or 400+ models via OpenRouter — auto-routes from model name
Live model discovery: Gemini registry + OpenRouter catalog, deprecation warnings
Vision: describe, OCR, Q&A on images
Google Interactions API
`google/gemini-3.1-pro-preview`
`true`
"research X", "investigate Y", "find sources on Z"
Real-time search with Google grounding & citations
Imagen — up to 4K resolution
Structured code generation with dry-run preview and XML output
3h (configurable)
Storage
Resolved Model
`anthropic/claude-3.5-sonnet`
`openai/gpt-4o`
Action
`mistralai/mistral-large-2512`
cwd
Default
`102400`
"analyze codebase", "security audit", "review architecture"
**required**
`3`
"ask GPT-4o", "compare models", "use Llama for this"
Trigger
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.
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
Configuring Google Cloud Identity-Aware Proxy (IAP) to enforce per-request identity verification for Compute Engine, App Engine, Cloud Run, and GKE services using access levels, context-aware policies, and programmatic access with service accounts.
Implement GCP Binary Authorization to enforce deploy-time security controls that ensure only trusted, attested container images are deployed to Google Kubernetes Engine and Cloud Run.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
The secure gateway connecting AI agents to enterprise systems.
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Learn how to use the cloud-gcp Claude skill. Complete guide with installation instructions and examples.
Learn how to use the implementing-gcp-vpc-firewall-rules Claude skill. Complete guide with installation instructions and examples.
Learn how to use the auditing-gcp-iam-permissions Claude skill. Complete guide with installation instructions and examples.