data-ai MCP Server
Claude Code skill for automating Google Gemini Web via Chrome DevTools MCP. 12 tested flows: chat, file upload, prompts, notebooks (RAG).
Discovered via github-topic:mcp and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
New Chat + disable Personal Intelligence
Chat in Notebook (source-grounded)
Select Model + Thinking Level
Validated
Upload Files (bridge → DataTransfer)
Send Prompt & Read Response
Redo / Regenerate (with sub-options)
Create Notebook
Resume Chat (sidebar or URL)
Delete Notebook
Edit Prompt & Resend
Original
Turns
Add Sources to Notebook
Stop Response Mid-Generation
`"Send message"` → `"Stop response"` → `"Send message"` state transitions
`/app`, `/app/<id>`, `/notebook/<uuid>`, `/notebooks/create`, `/notebooks/view`
`textbox "Enter a prompt for Gemini"`, `textbox "Edit prompt"`, `textbox "Name of the notebook"`
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
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