Grafana MCP server
A Model Context Protocol (MCP) server for Grafana.
This provides access to your Grafana instance and the surrounding ecosystem.
Features
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 |
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 |
Usage
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.
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
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": ""
}
}
}
}
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:
uv run pytest --integration tests
If you're adding more tools, please add integration tests for them. The existing tests should be a good starting point.
Certain tools use functionality that is only available in Grafana Cloud. Such tests should use the mark_cloud Pytest mark; see the incident_test.py file for an example. Use the GRAFANA_URL and GRAFANA_API_KEY environment variables to configure the Grafana instance to use for testing, and run these tests with:
GRAFANA_URL=https://myinstance.grafana.net GRAFANA_API_KEY=my-api-key uv run pytest --cloud tests
Linting
To lint the code, run:
make lint
License
This project is licensed under the Apache License, Version 2.0.
