Grafana MCP Server

@izaitsevfb

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

izaitsevfb

关于 Grafana MCP Server

MCP server for grafana

#grafana #mcp #monitoring

Grafana MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "grafana-mcp-izaitsevfb": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Grafana MCP Server 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Grafana MCP?

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.

How to use Grafana MCP?

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.

Key features of Grafana MCP

Dashboard management tools (list, get by UID, get info)
Data source listing tool
Organization information tool
Token-based authentication with Grafana API
Dashboard template resource bundled with the package
Python-based, installable via pip from GitHub

Use cases of Grafana MCP

Retrieve and inspect dashboards from a Grafana instance via an AI assistant
List available data sources for monitoring context
Query Grafana connection status and version information
Automate Grafana-related tasks within a Claude Code workflow
Explore organization-level metadata without the Grafana web UI

常见问题

What tools does Grafana MCP provide?

It provides `get_grafana_info()`, `list_dashboards()`, `get_dashboard(uid)`, `get_organization()`, and `list_datasources()`.

How do I authenticate with Grafana?

Create a `.env` file with `GRAFANA_URL` and `GRAFANA_API_TOKEN`, where the API token is generated in Grafana under Configuration → API Keys.

What are the runtime dependencies?

The package requires Python, `grafana-client`, `python-dotenv`, and `mcp` (Model Context Protocol server implementation).

Do I need a running Grafana instance to get started?

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.

How do I add Grafana MCP to Claude Code?

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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