AI tools on Grafana Labs

Grafana Assistant

Fri, 30 Oct 2026 14:22:33 +0000

Grafana Assistant

Grafana Assistant is an AI-powered observability agent. You ask it questions in plain language, and it works across your metrics, logs, traces, profiles, and databases.

If you run Grafana OSS or Grafana Enterprise, you can install the Assistant app in your self-managed Grafana deployment and connect it to a Grafana Cloud stack. The Assistant UI runs in your deployment, while the backend services, usage limits, and billing stay in the Grafana Cloud stack you connect.

For the full Grafana Assistant documentation, refer to Grafana Assistant in the Grafana Cloud documentation.

Before you begin

Grafana Assistant on-premise needs access in both your self-hosted Grafana deployment and a Grafana Cloud stack.

The following is required:

A Grafana Cloud stack with Assistant enabled
A self-hosted Grafana deployment
Organization administrator access in the self-hosted Grafana deployment
Administrator access in the Grafana Cloud stack that will back the deployment
The Grafana Assistant app available in the self-hosted Grafana deployment

Use Assistant on-prem

To set up Assistant on-prem refer to Connect to your deployment in the main Assistant documentation.
For a list of available features, refer to Review available features.
For management options and pricing, refer to Manage access and usage information.

Open source Grafana MCP server

Tue, 27 Oct 2026 14:41:24 +0100

Open source Grafana MCP server

This documentation helps you install and run the open source Grafana MCP server, connect MCP-compatible clients, and configure authentication, transports, and tools.

The Grafana MCP server is a Model Context Protocol (MCP) server that gives AI assistants and LLM clients access to your Grafana instance. You can query metrics and logs, search and manage dashboards, manage alert rules, work with Grafana Incident, and generate deeplinks to Grafana resources.

Choose the right Grafana MCP option

Grafana offers two MCP server options:

Option	Best for	Authentication
Open source Grafana MCP server	Running and managing the MCP server yourself for Grafana Cloud or self-managed Grafana	Service account token
Grafana Cloud MCP server	Connecting external AI agents to Grafana Cloud without installing a local server	OAuth 2.1 browser authorization, scoped to the signed-in Grafana user

Use this documentation for the open source server. For Grafana Cloud’s hosted MCP server, refer to Grafana Cloud MCP server.

Overview

Use the Grafana MCP server to let your preferred MCP-compatible client (for example, Claude Desktop, Cursor, or VS Code with Copilot) talk to Grafana. The server exposes tools for dashboards, datasources (Prometheus, Loki, and others), alerting, incidents, OnCall, and more. You configure which tools are enabled and how the server connects to Grafana (authentication and transport).

Quick start

This quick start requires uv. Add this to your MCP client configuration (for example Claude Desktop or Cursor):

{
  "mcpServers": {
    "grafana": {
      "command": "uvx",
      "args": ["mcp-grafana"],
      "env": {
        "GRAFANA_URL": "http://localhost:3000",
        "GRAFANA_SERVICE_ACCOUNT_TOKEN": "<your service account token>"
      }
    }
  }
}

When using this open source server with Grafana Cloud, set GRAFANA_URL to your instance URL (for example https://myinstance.grafana.net). Refer to Clients and Set up for next steps.

Grafana 9.0 or later is required for full functionality. Some features, particularly datasource-related operations, may not work correctly with earlier versions due to missing API endpoints.

Explore the docs

Clients – Cursor, Claude Desktop, VS Code, and more.
Set up – uvx, Docker, binary, Helm, and client configuration examples.
Configure – Authentication, command-line flags, transports, TLS, and tools.
Introduction – MCP concepts and RBAC overview.
Reference – MCP tools reference (tools, permissions, scopes, and RBAC guidance).
Guides – Query metrics and logs, dashboards, alerts, deeplinks, incidents.
Troubleshooting – Common issues including Grafana version compatibility.
Developer – Go SDK, observability, build and test.

License

The project is licensed under the Apache License, Version 2.0.

Introduction to the Grafana CLI tools

Wed, 28 Oct 2026 09:22:36 +0000

Introduction to the Grafana CLI tools

Grafana command-line tools are designed to simplify interaction with Grafana instances. You can authenticate, manage multiple environments, and perform administrative tasks through the Grafana REST API, all from the terminal. Whether you’re automating workflows in CI/CD pipelines or switching between staging and production environments, the Grafana CLI tools provide a flexible and efficient way to manage your Grafana setup as code.

gcx works across all environments for Grafana OSS, Enterprise, and Cloud. Use gcx to work with AI agents.

Explore

Grafana Assistant

Install Grafana Assistant in self-managed Grafana and connect it to a Grafana Cloud stack.

MCP server

Connect AI assistants and LLM clients to Grafana using the Model Context Protocol.

gcx

Use gcx, a command-line tool you can run yourself or hand to an AI agent, to authenticate, manage multiple environments, and perform administrative tasks from the terminal.