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Goatcounter MCP Server

@rafaljanicki

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

rafaljanicki

关于 Goatcounter MCP Server

暂无概览

Goatcounter 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": {
    "goatcounter-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@rafaljanicki/goatcounter-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Goatcounter MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Goatcounter MCP Server?

Goatcounter MCP Server is a Model Context Protocol server that exposes the Goatcounter web analytics API as standardized tools. It enables language models or other MCP clients to query site statistics, page data, referrers, browsers, operating systems, screen sizes, and locations.

How to use Goatcounter MCP Server?

Install via PyPI (pip install goatcounter-mcp-server) or from source. Set the GOATCOUNTER_CODE and GOATCOUNTER_API_KEY environment variables (in a .env file or directly). Run the server with the goatcounter-mcp-server command. For Claude Desktop, add a corresponding entry to claude_desktop_config.json.

Key features of Goatcounter MCP Server

  • Provides tools for most Goatcounter API endpoints.
  • Handles API key and site code configuration via environment variables.
  • Lazy initialization: tools can be listed before credentials are set.
  • Automatic retries with backoff on HTTP 429 rate limits (up to 5 retries).
  • Runs directly using the fastmcp command-line tool.

Use cases of Goatcounter MCP Server

  • Query total pageviews and unique visitors over a custom date range.
  • List most‑visited pages with optional path filtering.
  • Analyze referrer, browser, operating system, screen size, and location statistics.
  • Paginate through large sets of paths, stats, or referrers.
  • Retrieve current user or API token information and list accessible sites.

常见问题

1

What environment variables are required?

The server requires `GOATCOUNTER_CODE` (your Goatcounter site subdomain) and `GOATCOUNTER_API_KEY` (an API token generated under Settings → API tokens).

2

How does rate limit handling work?

The server automatically retries requests that receive a 429 response. It first respects the `X-Rate-Limit-Reset` header, falling back to exponential backoff with random jitter starting at 1 second, up to 5 retries.

3

Can I list the available tools without an API key?

Yes. The server uses lazy initialization, so tools can be listed even if `GOATCOUNTER_CODE` or `GOATCOUNTER_API_KEY` are not yet configured.

4

How do I install Goatcounter MCP Server?

It can be installed via Smithery (`npx -y @smithery/cli install @rafaljanicki/goatcounter-mcp-server --client claude`), from PyPI (`pip install goatcounter-mcp-server`), or directly from the GitHub repository.

5

How do I configure it for Claude Desktop?

Edit `claude_desktop_config.json` to add a `goatcounter-mcp-server` entry with the command (e.g., `goatcounter-mcp-server`) and environment variables under `env`. Then restart Claude Desktop.

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