Put Grafana Cloud data in AI workflows
Connect the Grafana Cloud MCP server and your workflows can query metrics and logs from your stack to investigate alerts and report on service health.
- Alert firestrigger
- Query metrics and logsaction
- Agent explainsAI
- Route to on-calldone
Grafana Cloud collects the signals; workflows decide what to do with them. With the Grafana Cloud MCP server connected, a Spojit workflow can query the metrics and logs behind an alert, have an agent explain the change, and route the result to on-call or a ticket.
Paste the Grafana Cloud MCP URL, sign in, and choose your stack. You need a Grafana Cloud stack with the Assistant terms accepted and a role with Cloud MCP access.
Step-by-step setup guideGrafana Cloud inside a durable workflow
Alert investigation
When an alert fires, query the related metrics and logs and post an agent-written explanation.
Service health reports
Summarise key service metrics on a schedule for stakeholders.
Post-incident timelines
Pull the observability data for an incident window to draft the review.
Why teams run this on Spojit
With Spojit
- Investigations run on durable execution with retries and history.
- Pair Grafana Cloud with on-call, tickets, and chat in one workflow.
- Access requires the Assistant Cloud MCP User role or equivalent permission.
Grafana Cloud, answered
Does it work with self-hosted Grafana?
No. The hosted server is for Grafana Cloud; self-hosted Grafana uses the open source MCP server, which is not a hosted endpoint.
Which tools are available?
Grafana Labs hosts and curates the MCP server, so the tool list is theirs and can change. See Grafana Labs's MCP documentation, linked from our setup guide, for the current set.
What is possible depends on your plan and authorized access. The Grafana Cloud MCP server is hosted by Grafana Labs, so its availability, tool surface, and any usage limits are set by Grafana Labs. You can request a feature or integration any time, and we will get in touch to figure out how to make it work.
Put Grafana Cloud in a workflow
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