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by Daniel Aviladavila7/claude-code-templates32k stars
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Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.

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referencesmcp-usage.md

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MCP Server Usage Reference

This document describes the Model Context Protocol (MCP) servers used for GCP networking observability.

BigQuery MCP

BigQuery is supported by a remote MCP server that provides tools for automated data management and analysis.

Key Tools

  • list_dataset_ids: List BigQuery dataset IDs in a project.
  • list_table_ids: List table IDs in a BigQuery dataset.
  • get_table_info: Get schema and metadata for a specific table.
  • execute_sql_readonly: Run SELECT queries to analyze logs (such as, VPC Flow, Firewall) stored in BigQuery. This is the preferred tool for high-volume aggregations and trend analysis.

Usage Pattern

  1. Use list_dataset_ids to find the logging dataset (for example, _AllLogs).
  2. Use list_table_ids to find the relevant log table.
  3. Use get_table_info to verify field names (for example, jsonPayload versus json_payload).
  4. Use execute_sql_readonly for the final analysis.

Cloud Logging MCP

The Cloud Logging MCP server provides access to log entries across various Google Cloud resources.

Key Tools

  • list_log_entries: Search and retrieve log entries using advanced filters.
  • list_log_names: Discover available logs in a project.

Usage Pattern

  • Use for quick, real-time identification of recent events or exploratory analysis where BigQuery datasets are not linked.
  • Use specific filters for resource.type and logName to narrow down results.

NetworkManagement MCP

The Network Management MCP server allows for reachability analysis and path diagnostics.

Key Tools

  • create_connectivity_test: Start a simulated packet path analysis between two endpoints.
  • get_connectivity_test: Poll for the results of a running test.
  • delete_connectivity_test: Cleanup the test resource after analysis is complete.

Usage Pattern

  • Use when static path analysis is needed to identify firewall or routing blocks.
  • CRITICAL: Always delete the test resource after retrieving the result.

Cloud Monitoring MCP

The GcpMon MCP server provides access to Cloud Monitoring metrics and time-series data.

Key Tools

  • list_metric_descriptors: Discover available metrics using filters.
  • list_timeseries: Retrieve aggregated data points for performance analysis (such as RTT or throughput).

Usage Pattern

  • Use for analyzing performance trends, packet loss, and latency.
  • Prefer ALIGN_MEAN or ALIGN_PERCENTILE_50 for distribution metrics like RTT to simplify parsing.

Source: SKILL.md on GitHub

Third-party checks

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  • Gen Agent Trust Hub2mo

    This skill is a diagnostic tool designed for Google Cloud networking observability. It provides structured procedures for querying logs, metrics, and connectivity diagnostics using official Google Cloud tools (gcloud, bq, and MCP servers). It follows security best practices by explicitly forbidding the creation of local scripts and requiring the cleanup of diagnostic resources.

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    No alerts

  • Snyk2mo

    Risk: MEDIUM · 1 issue

Provenance

Signed by skilld at 82b0fb3. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 19 hours ago.

Activeupdated 5 months ago

Capability

source
google/skills (Apache 2.0)

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