pulsemcp Safe content atomic mcp-remote

Lighthouse (PageSpeed Insights)

A Lighthouse MCP server that provides AI assistants with access to Google PageSpeed Insights API data. It enables running performance audits on web pages, retrieving detailed metrics like First Contentful Paint and Largest Contentful Paint, and identifying optimization opportunities. The server exposes a single tool that accepts URL parameters, strategy selection (mobile/desktop), and category filtering, making it valuable for web developers looking to analyze and improve site performance without leaving their AI assistant conversation.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: monitoring
Source: PulseMCP
Repository: github.com/adamsilverstein/lighthouse-mcp-server
Author type: human
Updated: 2026-04-25

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MCP

Resolve Lighthouse (PageSpeed Insights) from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"