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一个非官方服务器,允许AI助手访问Fathom Analytics数据,使用户能够获取账户信息、网站统计数据、事件、聚合报告和实时访客跟踪。

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README

MCP Fathom Analytics

An unofficial Model Context Protocol (MCP) server for accessing Fathom Analytics data through an AI assistant. This implementation uses the @mackenly/fathom-api unofficial SDK to interact with the Fathom Analytics API. Not affiliated, endorsed, or supported by Fathom Analytics. Published to npm as an npx script.

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Features

The MCP server provides the following Fathom Analytics tools:

Account Information

  • get-account: Retrieve details about your Fathom Analytics account

Sites Management

  • list-sites: List all your Fathom Analytics sites

Events

  • list-events: List events for a specific site

Analytics

  • get-aggregation: Generate aggregated analytics reports with flexible filtering and grouping options

Visitor Tracking

  • get-current-visitors: Get real-time data about current site visitors

Usage

If you're using Claude Desktop, you can add the MCP server using the json config (more info). Here's an example:

{
    "mcpServers": {
        "fathom-analytics": {
            "command": "npx",
            "args": [
                "-y",
                "mcp-fathom-analytics"
            ],
            "env": {
                "FATHOM_API_KEY": "your_api_key_here"
            }
        }
    }
}

You can find more information about other MCP Clients here: Model Context Protocol Example Clients

API Structure

The MCP server uses the @mackenly/fathom-api SDK to interface with the Fathom Analytics API endpoints:

  1. Account API: https://api.usefathom.com/v1/account
  2. Sites API: https://api.usefathom.com/v1/sites
  3. Events API: https://api.usefathom.com/v1/sites/SITE_ID/events
  4. Aggregation API: https://api.usefathom.com/v1/aggregations
  5. Current Visitors API: https://api.usefathom.com/v1/current_visitors

Aggregation Examples

The aggregation tool is highly flexible. Here are some example use cases:

  1. Daily pageview statistics for the last 30 days:
{
  "entity": "pageview",
  "entity_id": "SITE_ID",
  "aggregates": "pageviews,uniques,visits",
  "date_grouping": "day",
  "date_from": "2023-08-01 00:00:00"
}
  1. Performance of individual pages:
{
  "entity": "pageview",
  "entity_id": "SITE_ID",
  "aggregates": "pageviews,uniques,avg_duration",
  "field_grouping": "pathname",
  "sort_by": "pageviews:desc",
  "limit": 10
}
  1. Traffic from specific countries:
{
  "entity": "pageview",
  "entity_id": "SITE_ID",
  "aggregates": "visits",
  "field_grouping": "country_code",
  "sort_by": "visits:desc"
}

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端