Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.
The Grafana MCP server (maintained by Grafana Labs, written in Go) connects assistants to the observability stack most infrastructure teams already run: dashboards, datasources, Prometheus metrics, Loki logs, alert rules, and Grafana's incident and OnCall tooling.
Its defining capability is query without query-language fluency. PromQL and LogQL are powerful and nobody's favourite; being able to ask "what's the p95 latency on the API over the last six hours?" or "show error-level logs from the payments service around 14:30" and have correct queries generated, executed and interpreted lowers the barrier to data most teams underuse. The assistant handles rate windows, label matchers and histogram quantiles — the parts humans get subtly wrong.
Incident workflows benefit next. During an investigation the assistant can pull the relevant dashboard panels, correlate a metric spike with matching log lines, check which alerts fired and when, and draft the incident timeline — the toil half of incident response, automated where it's most resented. Alert-rule management and on-call schedule queries round out the operational surface.
It runs as a local binary/Docker container against any Grafana instance (Cloud or self-hosted) with a service-account token, and tool categories can be disabled selectively — a nice touch when you want read-only observability without alert-editing capability. For teams whose single pane of glass is Grafana, this makes that pane conversational.
glsa_) inherit a Grafana role. A Viewer token still answers dashboard, Prometheus and Loki questions while being unable to edit an alert rule — the sensible starting posture.--disable-alerting or --disable-oncall trim the tool surface. The full set spans dashboards, alerting, Incident, OnCall, Pyroscope and Sift, which is a lot to carry if you only came for metrics.Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Metrics and log questions in English, correct queries underneath.
Spikes, logs and alert timings pulled together into a coherent story.
Which rules exist, which fire noisily, which silences are stale — audited by asking.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| search_dashboards / get_dashboard_by_uid | Find and read dashboards |
| query_prometheus | Run PromQL queries against Prometheus datasources |
| query_loki_logs | Run LogQL queries against Loki |
| list_alert_rules / get_alert_rule_by_uid | Inspect alerting rules and states |
| list_incidents / create_incident | Grafana Incident workflows |
| list_datasources | Enumerate configured datasources |
| get_current_oncall_users | Who's on call right now (OnCall) |
{
"mcpServers": {
"grafana": {
"command": "docker",
"args": ["run", "--rm", "-i",
"-e", "GRAFANA_URL", "-e", "GRAFANA_SERVICE_ACCOUNT_TOKEN",
"mcp/grafana", "-t", "stdio"],
"env": {
"GRAFANA_URL": "https://your-org.grafana.net",
"GRAFANA_SERVICE_ACCOUNT_TOKEN": "glsa_your_token"
}
}
}
}Create a service account token in Grafana with the viewer/editor roles you're comfortable delegating.
A Grafana instance (Cloud or self-hosted) and a service-account token. Binary or Docker to run the server.
| Variable | Description | Required |
|---|---|---|
| GRAFANA_URL | Your Grafana instance URLe.g. https://your-org.grafana.net | Yes |
| GRAFANA_SERVICE_ACCOUNT_TOKEN | Service-account token with appropriate rolese.g. glsa_... | Yes |
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