@pipeworx/pagespeed-insights

MCP serverEverything else

Google PageSpeed Insights, runs Lighthouse against any public URL and returns the performance…

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use @pipeworx/pagespeed-insights

Install @pipeworx/pagespeed-insights

The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user pipeworx-pagespeed-insights 'https://gateway.pipeworx.io/pagespeed-insights/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://gateway.pipeworx.io/pagespeed-insights/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=pipeworx-pagespeed-insights&config=eyJ1cmwiOiJodHRwczovL2dhdGV3YXkucGlwZXdvcnguaW8vcGFnZXNwZWVkLWluc2lnaHRzL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://gateway.pipeworx.io/pagespeed-insights/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add pipeworx-pagespeed-insights --url 'https://gateway.pipeworx.io/pagespeed-insights/mcp'

    Run it once, then sign in with codex mcp login pipeworx-pagespeed-insights if the server asks for an account.

From the project's README

As published by pipeworx-io/mcp-pagespeed-insights in README.md.

Google's PageSpeed Insights — runs Lighthouse against any public URL on Google's own infrastructure and returns the performance/accessibility/best-practices/SEO scores, the lab timing metrics behind them, and the ranked list of specific fixes with the milliseconds or bytes each would save; plus the real-user Chrome UX Report data for that page and its origin.

Part of Pipeworx — an MCP gateway connecting AI agents to 1679+ live data sources.

Tools

  • pagespeed_audit(url, strategy?, categories?, max_opportunities?, locale?) — the lab run and its ranked opportunities.
  • pagespeed_field_metrics(url, strategy?) — real-user Core Web Vitals for the page and its origin, with Google's pass/fail verdict.

Auth

BYO with platform fallback: _apiKey, or PLATFORM_GOOGLE_API_KEY when that secret is set on the gateway.

The documented keyless path exists but is unusable. Unkeyed requests are billed to a single shared Google anonymous consumer project whose daily quota is exhausted — three consecutive unkeyed calls returned HTTP 429, "Quota exceeded … for consumer 'project_number:583797351490'" (verified live 2026-09-17). That project number is the same for every anonymous caller on the internet, so the quota is not ours to nurse and retrying does not help. The pack tries keyless first and refuses with wording that says a key is required.

A key is free, instant and needs no billing account: create one at https://console.cloud.google.com/apis/credentials and enable the PageSpeed Insights API at https://console.cloud.google.com/apis/library/pagespeedonline.googleapis.com. Quota is 25,000 requests/day, 240/minute. The same key serves the chrome-ux-report pack.

Relationship to the chrome-ux-report pack

chrome-ux-report reports what real visitors experienced; it cannot tell you why, because field data carries no diagnostics. This pack runs the page and names the causes. Use crux for "is this site fast for real users", use this for "what specifically is making it slow, and what do I fix first".

Data sources

  • https://www.googleapis.com/pagespeedonline/v5/runPagespeed

Traps, verified live 2026-09-17

  • A call takes 10–40 seconds. Google actually loads the page. The pack passes an explicit 60s budget; a caller batching ten URLs should expect minutes.
  • Lab and field disagree routinely and both are right. The lab run is one load on a throttled emulated phone from a Google data centre; the field block is 28 days of real visits on real devices. A 95 lab score with failing field CWV means real users are on worse hardware than the emulation — and it is the field number Search uses. Both are returned, labelled, never blended.
  • loadingExperience is the page, originLoadingExperience is the site — and for a low-traffic URL Google populates the page block with the origin's numbers and sets origin_fallback: true. Reading that as page data attributes the whole site's performance to one URL. Reported here as is_origin_fallback.
  • Category scores are 0–1 floats, not 0–100, and are nullable. A category that errored returns null, not zero.
  • An unreachable target is an HTTP 400 from Google, not a 404 or 5xx, with the useful part buried in error.errors[].reason. "Bad request" here often means "your site returned a 500 to Google's crawler".
  • CLS in this API is an integer ×100 (5 means 0.05), while the CrUX API returns the same metric as a decimal string. The pack normalises to the decimal.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "pagespeed-insights": {
      "url": "https://gateway.pipeworx.io/pagespeed-insights/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/pagespeed-insights/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1679+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/pagespeed_audit \
  -H 'Content-Type: application/json' \
  -d '{"url":"https://www.wikipedia.org"}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/pagespeed_audit. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "pagespeed-insights": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-pagespeed-insights"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-pagespeed-insights

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Pagespeed Insights data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Advanced
Delivery
pagespeed-insights MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Catalog kind
mcp-server
Key
io-github-pipeworx-io-pagespeed-insights
Source
github.com/pipeworx-io/mcp-pagespeed-insights
Hosted endpoint
https://gateway.pipeworx.io/pagespeed-insights/mcp