development MCP Server
Google Gemini Model Context Protocol (MCP) Client for VS Code. Connect AI assistants to local context & tools.
Discovered via smithery and last synced 3mo ago.
1. Install the package
npm install gg-mcp-for-vscode
`get_project_vcs_status`, `commit_changes`, `switch_branch`, `get_file_diff`
Count
`get_project_modules`, `get_project_dependencies`
`toggle_debugger_breakpoint`, `run_configuration`
`list_available_actions`, `execute_action_by_id`
`execute_terminal_command`, `run_command_on_background`, `get_terminal_info`
`get_file_text_by_path`, `create_new_file_with_text`, `replace_specific_text`
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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