Agents read dashboards to answer health questions, read-only.
Observability
Grafana MCP server
Give AI agents governed access to the Grafana MCP server through one audited gateway. Scoped permissions, full observability, and tamper-evident logs on every tool call.
What is the Grafana MCP server?
The Grafana MCP server is an open Model Context Protocol (MCP) server that connects AI agents to Grafana dashboards, panels, data sources, and alerts. Through it an agent can query telemetry, read dashboards, and inspect alerts without bespoke integration code, while the Averta MCP Gateway keeps every action scoped and audited.
grafana-search-dashboards
Search dashboards by name and tag.
grafana-get-dashboard
Read a dashboard and its panels.
grafana-query-datasource
Run a query against a data source.
grafana-get-metrics
Read metric series over a window.
grafana-list-alerts
List alert rules and their states.
grafana-get-alert
Read an alert rule's configuration.
grafana-list-datasources
List configured data sources.
grafana-list-folders
List dashboard folders.
grafana-get-panel
Read a single panel's query and data.
grafana-annotate
Add an annotation to a dashboard.
Why the Averta MCP Gateway
Centralized governance
Unified authentication, audit logging, and rate control for every Grafana MCP connection.
Observability and control
Real-time visibility into usage, anomalies, and SLA compliance across every request.
One-click deployment
Enable the Grafana MCP server for your AI teams through one governed gateway, with no manual setup.
Enterprise hardening
High availability, security, and compliance alignment turn MCP from a developer utility into production-grade infrastructure.
OAuth and SSO enforcement
Enterprise authentication and SSO applied automatically to every Grafana endpoint.
Shared and per-user auth
Configure service accounts or per-user access, with secrets protected and centralized revocation.
One managed endpoint
Connect agents to Grafana through a single governed endpoint instead of locally run servers, improving your security posture.
Granular tool access control
Allow only the tools each role needs. Enable read-only access and block write tools like create and delete.
Works with every major AI platform
ChatGPT
Gemini
Mistral
Claude Code
Cursor
Windsurf
Cognition
OpenCode
Continue
Manus
Hermes
Lindy
OpenClaw
Your ownBuilt for enterprise teams.
Cloud, private VPC, embedded SDK, or gateway integration. Run Averta where your data, policies, and auditors need it.
Cloud (SaaS)
Fully managed by Averta. Fastest path to production, no infrastructure to run.
Private / VPC
Deploy in your own environment, so data never leaves your boundary.
Embedded SDK & Proxy
Drop Averta into your stack at the SDK or proxy layer, wherever your agents run.
Gateway Integration
Route agent traffic through the gateway, so policy and audit apply at the edge.
Grafana MCP use cases
Where teams put the Grafana MCP server to work, governed end to end through the Averta MCP Gateway.
Grafana MCP · Dashboard readsHow is the API service doing?
YouSummarized current API health.
- Reading the API dashboard
- Summarizing key panels
All actions logged and governed
Powering safe AI execution at leading teams.
Cyfrin secures its production AI agents with Averta.
Book a demo“Averta gave our agents enforceable boundaries for the dev environment, so instructions like ‘don’t read .env files’ became policy instead of polite suggestions.”
Mikhail Karan
Head of Engineering
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Grafana MCP server, answered
Security and setup questions teams ask before connecting the Grafana MCP server to AI agents.
Yes. The Averta MCP Gateway sits between your AI agents and any MCP server, giving each agent scoped, per-agent permissions, applying allow, escalate, or block policies on every tool call, and recording a tamper-evident audit of every action. The “Why the Averta MCP Gateway” section on this page covers what it enforces.
It is as safe as the controls around it. The server exposes telemetry and dashboard controls through one token, so scoping and auditing matter. The Averta MCP Gateway keeps reads automatic and changes behind approval, with every call recorded.
Yes. Tool-level policy lets queries and reads run automatically while alert and dashboard changes escalate for approval, all recorded.
Route agents through Averta's MCP Gateway for scoped per-agent permissions, tool-level policy, and tamper-evident audit across every Grafana action.
Yes. Grafana maintains an official MCP server (grafana/mcp-grafana). Routing it through the Averta MCP Gateway gives each agent scoped, read-first access with a tamper-evident audit trail.
See Averta OS in action
Book a demo and see how Averta OS secures your AI agents from input to execution.
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