CoreDash. Real User Monitoring for Core Web Vitals MCP Server

@corewebvitals

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开发工具

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stdio

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corewebvitals

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A K

关于 CoreDash. Real User Monitoring for Core Web Vitals MCP Server

Query LCP, INP, and CLS field data from real visitors. Three tools: get_metrics, get_timeseries, get_histogram. Filter and group by device, country, page path, browser, OS, and 20+ dimensions. All data is real user monitoring (RUM) at the p75 percentile, the standard Google uses

#rum#core-web-vitals #web-performance#lcp#inp#cls#page-speed#monitoring #observability

CoreDash. Real User Monitoring for Core Web Vitals 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": {
    "coredash": {
      "url": "https://app.coredash.app/api/mcp",
      "headers": {
        "Authorization": "Bearer cdk_YOUR_API_KEY"
      }
    }
  }
}

CoreDash. Real User Monitoring for Core Web Vitals MCP Server 工具

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概览

What is CoreDash?

CoreDash is a Real User Monitoring (RUM) MCP server for Core Web Vitals. It provides LCP, INP, CLS, FCP, and TTFB field data from real visitors, accessible through any MCP‑compatible client for developers monitoring production web performance.

How to use CoreDash?

Generate an API key at https://coredash.app/settings/api, then add the server to your MCP client with the header Authorization: Bearer cdk_YOUR_API_KEY. OAuth is also supported via WWW Authenticate discovery.

Key features of CoreDash

Query current performance scores with get_metrics, filterable by 20+ dimensions
Analyze performance over time with get_timeseries and automatic trend detection
View distribution shape of a single metric with get_histogram (40 buckets with ratings)
Data from real users at the p75 percentile, matching Google’s ranking standard
Filter and group by device type, country, page path, URL, browser, OS, and attribution elements

Use cases of CoreDash

Monitor Core Web Vitals from real users in production
Detect regressions and trends in loading, interactivity, and visual stability
Compare performance across segments (e.g., mobile vs desktop)
Pinpoint which page elements cause slow LCP, slow INP, or layout shifts

常见问题

What metrics does CoreDash track?

LCP, INP, CLS, FCP, and TTFB, all measured at the p75 percentile.

What dimensions can I filter and group by?

Device type, country, page path, URL, browser, OS, plus 20+ more including attribution elements (lcpel, inpel, clsel).

How do I authenticate?

Use a Bearer token API key via the `Authorization` header, or OAuth via WWW Authenticate discovery.

Where does the data come from?

All data comes from real users in production – not synthetic testing.

Where can I generate an API key?

At https://coredash.app/settings/api.

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