general MCP Server
A blazing-fast, native Golang Model Context Protocol (MCP) Server for controlling and scraping Google Colab locally.
Discovered via github-topic:mcp-server and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Retrieves executed `Stdout`, Tracebacks, and Base64 stream data output.
Executes the target cell directly on Colab's hardware (e.g., L4 GPU/TPU).
(Optional) The local port used by the browser to communicate with GoLab.
Default
Purges target cells from the active Virtual Machine.
Description
Perform string-to-string substitution natively inside a cell.
(Required) A secret passcode of your choosing used to secure the WebSocket connection between your browser and your local agent.
(Optional) The Colab domain used when launching new notebook tabs from the IDE.
Pings the WebSocket to verify if the frontend proxy is actively attached.
Opens a specified Colab or Drive URL, automatically injecting MCP parameters.
Sweeps the active notebook isolating kernel compilation or runtime failures.
(Optional) Set to `direct` when using `go run ... @latest` to bypass Go module cache and instantly receive updates.
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.
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