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Google Cloud Logging Stream

Google Cloud Logging Stream MCP Connector for Claude

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This MCP does exactly one thing: it queries logs using Google Cloud Logging. That's its only function, and nothing else. Incredible for giving your AI secure observability.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

This server strips away dangerous global GCP permissions. It gives your AI agent one surgical superpower: the ability to run scoped queries on Google Cloud Logging for specific resources.

By strictly scoping access, your AI can safely troubleshoot application errors, analyze traffic spikes, and monitor infrastructure without ever gaining access to sensitive audit trails globally.

The Superpowers

  • Absolute Containment: The agent is strictly limited to query specific logs using your precise filter setup.
  • Native Logging Querying: Supports full Cloud Logging syntax, allowing the AI to filter, parse JSON payloads, and extract insights.
  • Plug & Play Troubleshooting: Instantly gives your agent the eyes and ears it needs to debug production issues autonomously.
log-aggregationobservabilitytroubleshootingcloud-monitoringdata-analysis

1 tools expose this connector's capabilities to your AI agent.

stream_logs

You can optionally filter them using advanced GCP Logging filter syntax (e.g., severity>=ERROR). Read and search log entries from the configured Google Cloud Log

See how to talk to your AI agent using Google Cloud Logging Stream.

Fetch the last 100 log entries from our configured log stream.

I've retrieved the latest 100 entries. They are mostly standard info-level logs, but I noticed a warning around 10:14 AM.

Stream logs filtering only for 'severity>=ERROR'.

I found 3 matching error logs. The most recent one indicates a database connection timeout.

Search the logs for the user ID 'user_8819' in the JSON payload.

Applying the filter `jsonPayload.userId="user_8819"`, I found the specific event where the user triggered the payment webhook.

To enforce zero-trust security. An autonomous AI agent debugging an application shouldn't have access to read your organization's entire audit log history, IAM logs, or logs from other unrelated services.

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