Grafana MCP server

A Model Context Protocol (MCP) server for Grafana.

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

Requirements

• Grafana version 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.

Features

The following features are currently available in MCP server. This list is for informational purposes only and does not represent a roadmap or commitment to future features.

Dashboards

• Search for dashboards: Find dashboards by title or other metadata
• Get dashboard by UID: Retrieve full dashboard details using its unique identifier
• Update or create a dashboard: Modify existing dashboards or create new ones. Note: Use with caution due to context window limitations; see issue #101
• Get panel queries and datasource info: Get the title, query string, and datasource information (including UID and type, if available) from every panel in a dashboard

Datasources

• List and fetch datasource information: View all configured datasources and retrieve detailed information about each.
  • Supported datasource types: Prometheus, Loki.

Prometheus Querying

• Query Prometheus: Execute PromQL queries (supports both instant and range metric queries) against Prometheus datasources.
• Query Prometheus metadata: Retrieve metric metadata, metric names, label names, and label values from Prometheus datasources.

Loki Querying

• Query Loki logs and metrics: Run both log queries and metric queries using LogQL against Loki datasources.
• Query Loki metadata: Retrieve label names, label values, and stream statistics from Loki datasources.

Incidents

• Search, create, and update incidents: Manage incidents in Grafana Incident, including searching, creating, and adding activities to incidents.

Sift Investigations

• List Sift investigations: Retrieve a list of Sift investigations, with support for a limit parameter.
• Get Sift investigation: Retrieve details of a specific Sift investigation by its UUID.
• Get Sift analyses: Retrieve a specific analysis from a Sift investigation.
• Find error patterns in logs: Detect elevated error patterns in Loki logs using Sift.
• Find slow requests: Detect slow requests using Sift (Tempo).

Alerting

• List and fetch alert rule information: View alert rules and their statuses (firing/normal/error/etc.) in Grafana.
• List contact points: View configured notification contact points in Grafana.

Grafana OnCall

• List and manage schedules: View and manage on-call schedules in Grafana OnCall.
• Get shift details: Retrieve detailed information about specific on-call shifts.
• Get current on-call users: See which users are currently on call for a schedule.
• List teams and users: View all OnCall teams and users.

Admin

• List teams: View all configured teams in Grafana.
• List Users: View all users in an organization in Grafana.

Navigation

• Generate deeplinks: Create accurate deeplink URLs for Grafana resources instead of relying on LLM URL guessing.
  • Dashboard links: Generate direct links to dashboards using their UID (e.g., http://localhost:3000/d/dashboard-uid)
  • Panel links: Create links to specific panels within dashboards with viewPanel parameter (e.g., http://localhost:3000/d/dashboard-uid?viewPanel=5)
  • Explore links: Generate links to Grafana Explore with pre-configured datasources (e.g., http://localhost:3000/explore?left={"datasource":"prometheus-uid"})
  • Time range support: Add time range parameters to links (from=now-1h&to=now)
  • Custom parameters: Include additional query parameters like dashboard variables or refresh intervals

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.
To disable a category of tools, use the --disable-<category> flag when starting the server. For example, to disable
the OnCall tools, use --disable-oncall, or to disable navigation deeplink generation, use --disable-navigation.

RBAC Permissions

Each tool requires specific RBAC permissions to function properly. When creating a service account for the MCP server, ensure it has the necessary permissions based on which tools you plan to use. The permissions listed are the minimum required actions - you may also need appropriate scopes (e.g., datasources:*, dashboards:*, folders:*) depending on your use case.

Note: Grafana Incident and Sift tools use basic Grafana roles instead of fine-grained RBAC permissions:

• Viewer role: Required for read-only operations (list incidents, get investigations)
• Editor role: Required for write operations (create incidents, modify investigations)

For more information about Grafana RBAC, see the official documentation.

RBAC Scopes

Scopes define the specific resources that permissions apply to. Each action requires both the appropriate permission and scope combination.

Common Scope Patterns:

• Broad access: Use * wildcards for organization-wide access

  • datasources:* - Access to all datasources
  • dashboards:* - Access to all dashboards
  • folders:* - Access to all folders
  • teams:* - Access to all teams

• Limited access: Use specific UIDs or IDs to restrict access to individual resources

  • datasources:uid:prometheus-uid - Access only to a specific Prometheus datasource
  • dashboards:uid:abc123 - Access only to dashboard with UID abc123
  • folders:uid:xyz789 - Access only to folder with UID xyz789
  • teams:id:5 - Access only to team with ID 5
  • global.users:id:123 - Access only to user with ID 123

Examples:

• Full MCP server access: Grant broad permissions for all tools

  datasources:* (datasources:read, datasources:query)
  dashboards:* (dashboards:read, dashboards:create, dashboards:write)
  folders:* (for dashboard creation and alert rules)
  teams:* (teams:read)
  global.users:* (users:read)
  

• Limited datasource access: Only query specific Prometheus and Loki instances

  datasources:uid:prometheus-prod (datasources:query)
  datasources:uid:loki-prod (datasources:query)
  

• Dashboard-specific access: Read only specific dashboards

  dashboards:uid:monitoring-dashboard (dashboards:read)
  dashboards:uid:alerts-dashboard (dashboards:read)
  

Tools

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. You have several options to install mcp-grafana:

   • Docker image: Use the pre-built Docker image from Docker Hub.

     Important: The Docker image's entrypoint is configured to run the MCP server in SSE mode by default, but most users will want to use STDIO mode for direct integration with AI assistants like Claude Desktop:

     1. STDIO Mode: For stdio mode you must explicitly override the default with -t stdio and include the -i flag to keep stdin open:

     docker pull mcp/grafana
     docker run --rm -i -e GRAFANA_URL=http://localhost:3000 -e GRAFANA_API_KEY=<your service account token> mcp/grafana -t stdio
     

     2. SSE Mode: In this mode, the server runs as an HTTP server that clients connect to. You must expose port 8000 using the -p flag:

     docker pull mcp/grafana
     docker run --rm -p 8000:8000 -e GRAFANA_URL=http://localhost:3000 -e GRAFANA_API_KEY=<your service account token> mcp/grafana
     

     3. Streamable HTTP Mode: In this mode, the server operates as an independent process that can handle multiple client connections. You must expose port 8000 using the -p flag: For this mode you must explicitly override the default with -t streamable-http

     docker pull mcp/grafana
     docker run --rm -p 8000:8000 -e GRAFANA_URL=http://localhost:3000 -e GRAFANA_API_KEY=<your service account token> mcp/grafana -t streamable-http
     

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

   • Build from source: 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
     

   • Deploy to Kubernetes using Helm: use the Helm chart from the Grafana helm-charts repository

     helm repo add grafana https://grafana.github.io/helm-charts
     helm install --set grafana.apiKey=<Grafana_ApiKey> --set grafana.url=<GrafanaUrl> my-release grafana/grafana-mcp
     

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

   If using the binary:

   {
     "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.

If using Docker:

{
  "mcpServers": {
    "grafana": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "GRAFANA_URL",
        "-e",
        "GRAFANA_API_KEY",
        "mcp/grafana",
        "-t",
        "stdio"
      ],
      "env": {
        "GRAFANA_URL": "http://localhost:3000",
        "GRAFANA_API_KEY": "<your service account token>"
      }
    }
  }
}

Note: The -t stdio argument is essential here because it overrides the default SSE mode in the Docker image.

Using VSCode with remote MCP server

If you're using VSCode and running the MCP server in SSE mode (which is the default when using the Docker image without overriding the transport), make sure your .vscode/settings.json includes the following:

"mcp": {
  "servers": {
    "grafana": {
      "type": "sse",
      "url": "http://localhost:8000/sse"
    }
  }
}

Debug Mode

You can enable debug mode for the Grafana transport by adding the -debug flag to the command. This will provide detailed logging of HTTP requests and responses between the MCP server and the Grafana API, which can be helpful for troubleshooting.

To use debug mode with the Claude Desktop configuration, update your config as follows:

If using the binary:

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

If using Docker:

{
  "mcpServers": {
    "grafana": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-e",
        "GRAFANA_URL",
        "-e",
        "GRAFANA_API_KEY",
        "mcp/grafana",
        "-t",
        "stdio",
        "-debug"
      ],
      "env": {
        "GRAFANA_URL": "http://localhost:3000",
        "GRAFANA_API_KEY": "<your service account token>"
      }
    }
  }
}

Note: As with the standard configuration, the -t stdio argument is required to override the default SSE mode in the Docker image.

TLS Configuration

If your Grafana instance is behind mTLS or requires custom TLS certificates, you can configure the MCP server to use custom certificates. The server supports the following TLS configuration options:

• --tls-cert-file: Path to TLS certificate file for client authentication
• --tls-key-file: Path to TLS private key file for client authentication
• --tls-ca-file: Path to TLS CA certificate file for server verification
• --tls-skip-verify: Skip TLS certificate verification (insecure, use only for testing)

Example with client certificate authentication:

{
  "mcpServers": {
    "grafana": {
      "command": "mcp-grafana",
      "args": [
        "--tls-cert-file",
        "/path/to/client.crt",
        "--tls-key-file",
        "/path/to/client.key",
        "--tls-ca-file",
        "/path/to/ca.crt"
      ],
      "env": {
        "GRAFANA_URL": "https://secure-grafana.example.com",
        "GRAFANA_API_KEY": "<your service account token>"
      }
    }
  }
}

Example with Docker:

{
  "mcpServers": {
    "grafana": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-v",
        "/path/to/certs:/certs:ro",
        "-e",
        "GRAFANA_URL",
        "-e",
        "GRAFANA_API_KEY",
        "mcp/grafana",
        "-t",
        "stdio",
        "--tls-cert-file",
        "/certs/client.crt",
        "--tls-key-file",
        "/certs/client.key",
        "--tls-ca-file",
        "/certs/ca.crt"
      ],
      "env": {
        "GRAFANA_URL": "https://secure-grafana.example.com",
        "GRAFANA_API_KEY": "<your service account token>"
      }
    }
  }
}

The TLS configuration is applied to all HTTP clients used by the MCP server, including:

• The main Grafana OpenAPI client
• Prometheus datasource clients
• Loki datasource clients
• Incident management clients
• Sift investigation clients
• Alerting clients
• Asserts clients

Direct CLI Usage Examples:

For testing with self-signed certificates:

./mcp-grafana --tls-skip-verify -debug

With client certificate authentication:

./mcp-grafana \
  --tls-cert-file /path/to/client.crt \
  --tls-key-file /path/to/client.key \
  --tls-ca-file /path/to/ca.crt \
  -debug

With custom CA certificate only:

./mcp-grafana --tls-ca-file /path/to/ca.crt

Programmatic Usage:

If you're using this library programmatically, you can also create TLS-enabled context functions:

// Using struct literals
tlsConfig := &mcpgrafana.TLSConfig{
    CertFile: "/path/to/client.crt",
    KeyFile:  "/path/to/client.key",
    CAFile:   "/path/to/ca.crt",
}
grafanaConfig := mcpgrafana.GrafanaConfig{
    Debug:     true,
    TLSConfig: tlsConfig,
}
contextFunc := mcpgrafana.ComposedStdioContextFunc(grafanaConfig)

// Or inline
grafanaConfig := mcpgrafana.GrafanaConfig{
    Debug: true,
    TLSConfig: &mcpgrafana.TLSConfig{
        CertFile: "/path/to/client.crt",
        KeyFile:  "/path/to/client.key",
        CAFile:   "/path/to/ca.crt",
    },
}
contextFunc := mcpgrafana.ComposedStdioContextFunc(grafanaConfig)

Troubleshooting

Grafana Version Compatibility

If you encounter the following error when using datasource-related tools:

get datasource by uid : [GET /datasources/uid/{uid}][400] getDataSourceByUidBadRequest {"message":"id is invalid"}

This typically indicates that you are using a Grafana version earlier than 9.0. The /datasources/uid/{uid} API endpoint was introduced in Grafana 9.0, and datasource operations will fail on earlier versions.

Solution: Upgrade your Grafana instance to version 9.0 or later to resolve this issue.

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 locally in STDIO mode (which is the default for local development), use:

make run

To run the server locally in SSE mode, use:

go run ./cmd/mcp-grafana --transport sse

You can also run the server using the SSE transport inside a custom built Docker image. Just like the published Docker image, this custom image's entrypoint defaults to SSE mode. To build the image, use:

make build-image

And to run the image in SSE mode (the default), use:

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

If you need to run it in STDIO mode instead, override the transport setting:

docker run -it --rm mcp-grafana:latest -t stdio

Testing

There are three types of tests available:

1. Unit Tests (no external dependencies required):

make test-unit

You can also run unit tests with:

make test

2. Integration Tests (requires docker containers to be up and running):

make test-integration

3. Cloud Tests (requires cloud Grafana instance and credentials):

make test-cloud

Note: Cloud tests are automatically configured in CI. For local development, you'll need to set up your own Grafana Cloud instance and credentials.

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

This includes a custom linter that checks for unescaped commas in jsonschema struct tags. The commas in description fields must be escaped with \\, to prevent silent truncation. You can run just this linter with:

make lint-jsonschema

See the JSONSchema Linter documentation for more details.

License

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