Grafana AI Marketplace is a collection of plugins and related configuration for using AI coding agents with Grafana observability workflows. It connects agents to Grafana through either a hosted Grafana Cloud MCP server or a locally run Grafana MCP service, and its catalogue add-ons provide those integrations.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/grafana/ai-marketplaceWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/grafana/ai-marketplace/grafana-assistant)<a href="https://agentmods.dev/rules/grafana/ai-marketplace/grafana-assistant"><img src="https://agentmods.dev/badge/rules/grafana/ai-marketplace/grafana-assistant/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/rules/grafana/ai-marketplace/grafana-assistant"><img src="https://agentmods.dev/badge/rules/grafana/ai-marketplace/grafana-assistant.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00196 | $0.00196 |
| Opus 5 | $0.00098 | $0.00098 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
grafana-assistant scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
grafana-assistant:
- Use
get_dashboard_summaryinstead ofget_dashboard_by_uidto avoid consuming the context window with full dashboard JSON. - Use
get_dashboard_propertywith JSONPath expressions to extract only the specific parts you need from a dashboard. - Prefer
patch_dashboardfor targeted modifications rather thanupdate_dashboardwith the full JSON payload. - When querying Prometheus, always specify a reasonable time range to avoid overwhelming results.
- When querying Loki, prefer targeted LogQL selectors with label matchers over broad queries.
- Use
search_dashboardsto discover dashboards before attempting to retrieve them by UID. - Avoid write operations (
update_dashboard,create_incident,create_alert_rule) unless explicitly asked by the user. - When presenting Grafana data, use
generate_deeplinkto provide clickable URLs rather than describing navigation steps.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 16 lines · 196 tokens per session scan A 46df50dd7d78
grafana-assistant is a cursor rule published in the GitHub repository grafana/ai-marketplace (17 stars, last pushed yesterday), licensed Apache-2.0. It adds 196 tokens to every session, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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