Grafana MCP

Grafana MCP

MCP server for Grafana that provides tools to interact with dashboards, data sources, alerts, and more.

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Grafana MCP

This project provides MCP server for Grafana, including MCP tools to interact with Grafana dashboards, data sources, alerts, and more.

The package includes a dashboard template resource that is properly bundled with the package for use when installed.

Usage

Installation

  1. Create a virtual environment (recommended)
python -m venv venv
source venv/bin/activate
  1. Install this package directly from GitHub using pip:
pip install -e git+https://github.com/izaitsevfb/grafana-mcp.git#egg=grafana_mcp

(Alternatively, you can install it locally with pip install -e .)

  1. Configure Grafana authentication

Create a .env file with your Grafana URL and API token:

cp .env.example .env

Then edit the .env file to add your actual Grafana URL and API token:

GRAFANA_URL=http://your-grafana-server:3000
GRAFANA_API_TOKEN=your-api-token-here

You can generate an API token in Grafana by navigating to: Configuration → API Keys → New API key.

  1. After installation, the MCP server can be run as:
python -m grafana_mcp
  1. Add this MCP server to Claude Code:
claude mcp add-json grafana '{ "type": "stdio", "command": "python", "args": [ "-m", "grafana_mcp" ], "env": {} }'

Note: By default, MCP config applies only to the current directory. If you want to use it globally, add --scope user to the command above:

claude mcp add-json --scope user grafana '{ "type": "stdio", "command": "python", "args": [ "-m", "grafana_mcp" ], "env": {} }'
  1. Run Claude Code as usual:
claude

Development

Development Installation

  1. Clone the repository
  2. Install in development mode:
    pip install -e .
    

The package uses Python's package resource management system to include the dashboard template. The dashboard.json file is stored in the src/grafana_mcp/ directory and is accessed using importlib.resources when the package is installed.

Testing

Run unit tests:

python -m unittest discover tests

For testing with token authentication, ensure you have created a .env file with your Grafana credentials as described above. The test suite includes mocked tests that don't require an actual Grafana instance.

Tools

The Grafana MCP provides the following tools:

Available Tools

Dashboard Management

  • get_grafana_info(): Get information about the connected Grafana instance including version and connection status
  • list_dashboards(): List all dashboards from the connected Grafana instance
  • get_dashboard(uid): Get details about a specific dashboard by UID

Organization Management

  • get_organization(): Get information about the current organization

Data Source Management

  • list_datasources(): List all available data sources

Requirements

  • grafana-client: Python client for Grafana API
  • python-dotenv: For loading environment variables from .env file
  • mcp: Model Context Protocol server implementation

Authentication

This package uses token authentication with the Grafana API. To configure authentication:

  1. In your Grafana instance, create an API key with appropriate permissions
  2. Create a .env file with the following variables:
    GRAFANA_URL=http://your-grafana-url:3000
    GRAFANA_API_TOKEN=your-api-token-here
    
  3. The MCP server will automatically load these credentials when started

More tools and features will be added in future versions.

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