MCP.so
Sign In

CoreDash. Real User Monitoring for Core Web Vitals

@corewebvitals

Repository

About CoreDash. Real User Monitoring for Core Web Vitals

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

Basic information

Category

Developer Tools

Transports

stdio

Publisher

corewebvitals

Submitted by

A K

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "coredash": {
      "url": "https://app.coredash.app/api/mcp",
      "headers": {
        "Authorization": "Bearer cdk_YOUR_API_KEY"
      }
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from CoreDash

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.

Comments

More Developer Tools MCP servers

Golf

golf-mcp

Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

834

Smithery CLI

smithery-ai

Install, manage and develop MCP servers and skills for agents

788

DevDocs by CyberAGI 🚀

cyberagiinc

Completely free, private, UI based Tech Documentation MCP server. Designed for coders and software developers in mind. Easily integrate into Cursor, Windsurf, Cline, Roo Code, Claude Desktop App

2.1K

Serena

oraios

A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent

26.2K

Hello World MCP Server (Reference Extension)

anthropics

Desktop Extensions: One-click local MCP server installation in desktop apps

2.0K