Connect AI agents to your Grafana instance for intelligent monitoring and interaction.
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TL;DR - Grafana MCP Server
- Connects AI agents to Grafana via Model Context Protocol (MCP).
- Enables AI to search, retrieve, create, and modify Grafana dashboards.
- Supports AI-driven querying of Grafana datasources like Prometheus and Loki.
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
Pros
- Enables AI-driven automation and interaction with Grafana
- Reduces context window usage for AI agents through summary and JSONPath features
- Supports a wide range of Grafana dashboard and datasource operations
- Offers flexible deployment options including Docker, binary, and Helm
- Provides query examples for common datasource types to aid AI understanding
Cons
- Requires Grafana version 9.0 or later for full functionality
- Some features (e.g., run panel query, query examples) are disabled by default and require explicit enabling
- Large dashboards can consume significant context window space for AI agents if not managed with specific tools
Key Features
Search for Grafana dashboards by title or metadataRetrieve full dashboard details by UIDGet compact dashboard summaries including panel count and typesExtract specific dashboard properties using JSONPath expressionsUpdate or create Grafana dashboardsPatch specific changes to dashboards without full JSONGet panel queries and associated datasource informationExecute dashboard panel queries with custom time ranges and variable overrides
Pricing Plans
Open Source
Free
- Full source code access
- Community support
- Self-hosted
What is Grafana MCP Server?
The Grafana MCP server acts as a Model Context Protocol (MCP) server, enabling AI agents like GitHub Copilot to interact with and manage your Grafana instances. It provides a structured interface for AI to access Grafana dashboards, datasources, and execute queries. This allows for AI-driven insights, automated dashboard creation and modification, and intelligent querying of monitoring data, enhancing observability workflows.
This tool is designed for developers, DevOps engineers, and SREs who want to leverage AI for managing and interacting with their Grafana environments. It streamlines tasks such as finding specific dashboard information, extracting panel queries, and even running queries programmatically, reducing manual effort and accelerating incident response or data exploration. By integrating with AI agents, it transforms how users monitor and analyze their systems within the Grafana ecosystem.
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Grafana MCP Server FAQ
What is the minimum Grafana version required for the MCP server to function correctly?
Grafana version 9.0 or later is required for the MCP server to provide full functionality. Earlier versions may lack necessary API endpoints, particularly for datasource-related operations.
How does the MCP server help manage context window usage for AI agents when interacting with large Grafana dashboards?
The MCP server includes several strategies to manage context window usage. It offers
get_dashboard_summary for overviews, get_dashboard_property with JSONPath for extracting specific parts, and patch dashboard to apply changes without requiring the full dashboard JSON, minimizing the data sent to the AI.Which specific datasource types are supported for listing, fetching information, and retrieving query examples?
The MCP server supports Prometheus, Loki, ClickHouse, CloudWatch, and Elasticsearch datasources for listing, fetching detailed information, and providing query examples.
Can the MCP server execute queries against Grafana panels, and if so, how is this feature enabled?
Yes, the MCP server can execute dashboard panel queries with custom time ranges and variable overrides. This feature is disabled by default and must be enabled by adding
runpanelquery to the --enabled-tools flag during server configuration.What is the purpose of the `GRAFANA_SERVICE_ACCOUNT_TOKEN` environment variable in the MCP client configuration?
The
GRAFANA_SERVICE_ACCOUNT_TOKEN environment variable is used to authenticate the MCP server with your Grafana instance, granting it the necessary permissions to access and manipulate dashboards and datasources.Source: github.com