Grafana MCP Server

Available Tools

The following tools are available via the MCP server:

• test_connection: Verify connectivity to your Grafana instance and configuration.
• grafana_promql_query: Execute PromQL queries against Grafana's Prometheus datasource. Fetches metrics data using PromQL expressions, optimizes time series responses to reduce token size.
• grafana_loki_query: Query Grafana Loki for log data. Fetches logs for a specified duration (e.g., '5m', '1h', '2d'), converts relative time to absolute timestamps.
• grafana_get_dashboard_config: Retrieves dashboard configuration details from the database. Queries the connectors_connectormetadatamodelstore table for dashboard metadata.
• grafana_query_dashboard_panels: Execute queries for specific dashboard panels. Can query up to 4 panels at once, supports template variables, optimizes metrics data.
• grafana_fetch_label_values: Fetch label values for dashboard variables from Prometheus datasource. Retrieves available values for specific labels (e.g., 'instance', 'job'). Supports optional metric filtering.
• grafana_fetch_dashboard_variables: Fetch all variables and their values from a Grafana dashboard. Retrieves dashboard template variables and their current values.
• grafana_fetch_all_dashboards: Fetch all dashboards from Grafana with basic information like title, UID, folder, tags, etc.
• grafana_fetch_datasources: Fetch all datasources from Grafana with their configuration details.
• grafana_fetch_folders: Fetch all folders from Grafana with their metadata and permissions.

🚀 Usage & Requirements

1. Get Your Grafana API Endpoint & Service Account Token

1. Ensure you have a running Grafana instance (self-hosted or cloud).
2. Generate a Service Account Token from your Grafana UI:
   • Create Service Account: In your Grafana dashboard, navigate to Admin >> Users & Access >> Service Accounts >> Create a Service Account with Viewer permissions
   • Generate Service Account Key: Within Service Account, create a new Service Account token.
   • Copy the service account token (starts with glsa_)

2. Installation & Running Options

2A. Install & Run with uv (Recommended for Local Development)

2A.1. Install dependencies with uv

uv venv .venv
source .venv/bin/activate
uv sync

2A.2. Run the server with uv

uv run -m src.grafana_mcp_server.mcp_server

• You can also use uv to run any other entrypoint scripts as needed.
• Make sure your config.yaml is in the same directory as mcp_server.py or set the required environment variables (see Configuration section).

2B. Run with Docker Compose (Recommended for Production/Containerized Environments)

1. Edit grafana-mcp-server/src/grafana_mcp_server/config.yaml with your Grafana details (host, API key).
2. Start the server:

   docker compose up -d
   

   • The server will run in HTTP (SSE) mode on port 8000 by default.
   • You can override configuration with environment variables (see below).

3. Configuration

The server loads configuration in the following order of precedence:

1. Environment Variables (recommended for Docker/CI):
   • GRAFANA_HOST: Grafana instance URL (e.g. https://your-grafana-instance.com)
   • GRAFANA_API_KEY: Grafana Service Account Token (required)
   • GRAFANA_SSL_VERIFY: true or false (default: true)
   • MCP_SERVER_PORT: Port to run the server on (default: 8000)
   • MCP_SERVER_DEBUG: true or false (default: true)
2. YAML file fallback (config.yaml):

   grafana:
     host: "https://your-grafana-instance.com"
     api_key: "your-grafana-api-key-here"
     ssl_verify: "true"
   server:
     port: 8000
     debug: true
   

4. Integration with AI Assistants (e.g., Claude Desktop, Cursor)

You can integrate this MCP server with any tool that supports the MCP protocol. Here are the main options:

4A. Using

... View full README on GitHub