Use Google Cloud Logging Stream with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. 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 ob
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 1 capability
The complete Google Cloud Logging Stream capability set.
These are the exact actions your AI can choose when you ask it to work with Google Cloud Logging Stream.
01
1 capability in this set.
Part of 1 available through Google Cloud Logging Stream.
- 01
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
Observed, not estimated
748ms average. Fast in production.
Google Cloud Logging Stream is checked daily against the live service.
- Fastest day
- 673ms
- Slowest day
- 1121ms
- 14-day trend
- Stable+1%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Google Cloud Logging Stream, so you can see the experience inside your AI.
It does not authenticate your account with Google Cloud Logging Stream. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Google Cloud Logging Stream Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_WvvXmnhnniAUbHWunSoDvbFnG63nFsN7jFywz4oj/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Google Cloud Logging Stream capabilities are ready to use.
{
"mcpServers": {
"google-cloud-logging-stream-mcp": {
"url": "https://edge.vinkius.com/vk_preview_WvvXmnhnniAUbHWunSoDvbFnG63nFsN7jFywz4oj/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Google Cloud Logging Stream owners ask.
- 01
Why limit the agent to a single Log Name?
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.
- 02
Can I use advanced GCP Log queries?
Yes! You can pass any standard GCP Logging filter (e.g., textPayload:"Exception" or jsonPayload.status="500") via the filter argument. The server automatically merges your filter with the strict logName restriction.
- 03
How are the results ordered?
Results are always returned in descending order (timestamp desc), meaning the AI agent gets the most recent logs first, which is ideal for real-time debugging.
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