Grafana MCP server

A Model Context Protocol (MCP) server for Grafana.

This provides access to your Grafana instance and the surrounding ecosystem.

Features

• Search for dashboards
• Get dashboard by UID
• List and fetch datasource information
• Query datasources
  • Prometheus
  • Loki
    • Log queries
    • Metric queries
  • Tempo
  • Pyroscope
• Query Prometheus metadata
  • Metric metadata
  • Metric names
  • Label names
  • Label values
• Query Loki metadata
  • Label names
  • Label values
  • Stats
• Search, create, update and close incidents
• Start Sift investigations and view the results
• Alerting
  • List and fetch alert rule information
  • Get alert rule statuses (firing/normal/error/etc.)
  • Create and change alert rules
  • List contact points
  • Create and change contact points

The list of tools is configurable, so you can choose which tools you want to make available to the MCP client. This is useful if you don't use certain functionality or if you don't want to take up too much of the context window.

Tools

Tool	Category	Description
search_dashboards	Search	Search for dashboards
get_dashboard_by_uid	Dashboard	Get a dashboard by uid
list_datasources	Datasources	List datasources
get_datasource_by_uid	Datasources	Get a datasource by uid
get_datasource_by_name	Datasources	Get a datasource by name
query_prometheus	Prometheus	Execute a query against a Prometheus datasource
list_prometheus_metric_metadata	Prometheus	List metric metadata
list_prometheus_metric_names	Prometheus	List available metric names
list_prometheus_label_names	Prometheus	List label names matching a selector
list_prometheus_label_values	Prometheus	List values for a specific label
list_incidents	Incident	List incidents in Grafana Incident
create_incident	Incident	Create an incident in Grafana Incident
add_activity_to_incident	Incident	Add an activity item to an incident in Grafana Incident
resolve_incident	Incident	Resolve an incident in Grafana Incident
query_loki_logs	Loki	Query and retrieve logs using LogQL (either log or metric queries)
list_loki_label_names	Loki	List all available label names in logs
list_loki_label_values	Loki	List values for a specific log label
query_loki_stats	Loki	Get statistics about log streams
list_alert_rules	Alerting	List alert rules
get_alert_rule_by_uid	Alerting	Get alert rule by UID

Usage

1. Create a service account in Grafana with enough permissions to use the tools you want to use, generate a service account token, and copy it to the clipboard for use in the configuration file. Follow the Grafana documentation for details.

2. Download the latest release of mcp-grafana from the releases page and place it in your $PATH.

   If you have a Go toolchain installed you can also build and install it from source, using the GOBIN environment variable to specify the directory where the binary should be installed. This should also be in your PATH.

   GOBIN="$HOME/go/bin" go install github.com/grafana/mcp-grafana/cmd/mcp-grafana@latest

3. Add the server configuration to your client configuration file. For example, for Claude Desktop:

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

Note: if you see Error: spawn mcp-grafana ENOENT in Claude Desktop, you need to specify the full path to mcp-grafana.

Development

Contributions are welcome! Please open an issue or submit a pull request if you have any suggestions or improvements.

This project is written in Go. Install Go following the instructions for your platform.

To run the server, use:

make run

You can also run the server using the SSE transport inside Docker. To build the image, use

make build-image

And to run the image, use:

docker run -it --rm -p 8000:8000 mcp-grafana:latest

Testing

To run unit tests, run:

make test

TODO: add integration tests and cloud tests.

More comprehensive integration tests will require a Grafana instance to be running locally on port 3000; you can start one with Docker Compose:

docker-compose up -d

The integration tests can be run with:

make test-all

If you're adding more tools, please add integration tests for them. The existing tests should be a good starting point.

Linting

To lint the code, run:

make lint

License

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