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# From signals to savings: Optimizing cloud costs with Grafana Assistant and MCP servers

**[Grafana Labs](https://daily.dev/sources/grafana)** · 5 min read · 2 upvotes · 0 comments

## Summary

Grafana Assistant, the AI-powered agent in Grafana Cloud, can analyze Kubernetes and cloud infrastructure telemetry to identify resource waste and cost optimization opportunities without requiring PromQL knowledge. By integrating with MCP (Model Context Protocol) servers such as the GitHub MCP server, Assistant can go beyond recommendations and automatically apply optimizations — for example, updating Helm values.yaml files and opening pull requests based on 30-day production usage data. The workflow covers Kubernetes workloads as well as AWS, GCP, Azure VMs, and managed databases, and can be extended to other tools like Cloudflare, Jenkins, and LaunchDarkly via MCP integrations.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://grafana.com/blog/from-signals-to-savings-optimizing-cloud-costs-with-grafana-assistant-and-mcp-servers/>

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---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#observability](https://daily.dev/tags/observability), [#grafana](https://daily.dev/tags/grafana), [#mcp](https://daily.dev/tags/mcp), [#finops](https://daily.dev/tags/finops)

[View this post on daily.dev](https://daily.dev/posts/from-signals-to-savings-optimizing-cloud-costs-with-grafana-assistant-and-mcp-servers-qyawb2aet)

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