feat: integrate Gemini CLI with Docker MCP for natural language observability#24134
feat: integrate Gemini CLI with Docker MCP for natural language observability#24134falconcr wants to merge 5 commits intodocker:mainfrom
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Documentation Review Summary
I've reviewed the new Grafana MCP integration guide. The content is well-structured and provides a useful tutorial for DevOps engineers. However, I found several issues that should be addressed to improve clarity and completeness:
HIGH Severity Issues (3):
- Missing explanation for security recommendations
- Unclear description of AI behavior in logs inspection
- Incomplete help/contact information
MEDIUM Severity Issues (5):
- Wordy phrasing that could be more concise
- Passive voice construction
- Marketing metaphors instead of direct language
- Unclear technical assumptions about Kubernetes
- Promotional tone in closing section
All issues are detailed in inline comments below.
dvdksn
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Thank you for this @falconcr
For now, just a heads-up that we're about to release some changes to MCP Toolkit which affects the UX in a way that would impact some of the steps in this guide. We're introducing an abstraction layer for managing server<>client configurations, called profiles.
The guide as such will still be useful. But I think we should wait with releasing this until profiles have been released, to avoid the double work of releasing this now and then updating it in a week or two when profiles are released.
Hello @dvdksn , i just applied the feedback provided. Let me know if you have more comments or when the new release is done in order to update the repo. |
Description
This PR implements a natural language interface for observability by connecting the Gemini CLI to Grafana/Loki using the Docker MCP Toolkit.
The implementation allows DevOps engineers to query infrastructure logs and metrics using plain English. The workflow follows a three-step automated sequence:
Datasource Discovery: The system automatically identifies available telemetry backends (e.g., Loki) using the list_datasources tool.
Contextual Translation: Gemini translates natural language prompts (e.g., filtering by device_name) into technical LogQL queries autonomously.
Automated Diagnostics: The system summarizes raw logs and proactively identifies critical anomalies, such as node_filesystem_device_error, without explicit user instruction.
Reviews
Checklist
[x] Technical review
[ ] Editorial review
[ ] Product review