What tools does Grafana MCP provide?
It provides `get_grafana_info()`, `list_dashboards()`, `get_dashboard(uid)`, `get_organization()`, and `list_datasources()`.
@izaitsevfb
Basic information
MCP server for grafana
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"grafana-mcp-izaitsevfb": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
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Grafana MCP is a Model Context Protocol (MCP) server that provides tools to interact with Grafana dashboards, data sources, alerts, and more. It is intended for users who want to connect AI assistants like Claude Code to a Grafana instance via the MCP standard.
Install the package from GitHub with pip install -e git+https://github.com/izaitsevfb/grafana-mcp.git#egg=grafana_mcp, then create a .env file with GRAFANA_URL and GRAFANA_API_TOKEN. Run the server with python -m grafana_mcp and add it to Claude Code using claude mcp add-json grafana with a stdio transport configuration.
It provides `get_grafana_info()`, `list_dashboards()`, `get_dashboard(uid)`, `get_organization()`, and `list_datasources()`.
Create a `.env` file with `GRAFANA_URL` and `GRAFANA_API_TOKEN`, where the API token is generated in Grafana under Configuration → API Keys.
The package requires Python, `grafana-client`, `python-dotenv`, and `mcp` (Model Context Protocol server implementation).
The test suite includes mocked tests that do not require an actual Grafana instance, but the server itself needs a valid Grafana URL and API token to function.
Use the command `claude mcp add-json grafana '{ "type": "stdio", "command": "python", "args": [ "-m", "grafana_mcp" ], "env": {} }'`. Add `--scope user` for global availability.
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