Pagespeed Insights MCP vs Dembrandt

A side-by-side look at the Pagespeed Insights MCP and Dembrandt MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.

Pagespeed Insights MCP logoPagespeed Insights MCPDeveloper Tools · Local subprocess (stdio)Google PageSpeed Insights & CrUX APIs: 16 tools for web performance audits.68GreatAuth: api key requiredDembrandt logoDembrandtDeveloper Tools · Local subprocess (stdio)Design tokens from any live site: colours, type, spacing, components, drift against a baseline.53GoodAuth: not declared

Verdict: choose Pagespeed Insights MCP for developer tools work as a local process; choose Dembrandt for developer tools as a local process. You can also run both side by side in one mcpServers block.

Which MCP server should you choose?

Pagespeed Insights MCP logoChoose Pagespeed Insights MCP when

  • You need dedicated capabilities in the Developer Tools domain.
  • You prefer a local stdio subprocess transport.
  • Its auth model fits you: API key required.
  • You have the keys it needs: GOOGLE_API_KEY.
  • You want tools like pagespeed_analyze_page, pagespeed_diagnose_page, pagespeed_get_field_data.
Explore Pagespeed Insights MCP

Dembrandt logoChoose Dembrandt when

  • You need dedicated capabilities in the Developer Tools domain.
  • You prefer a local stdio subprocess transport.
Explore Dembrandt

Feature & specification comparison

Rows where the two servers differ are marked.

SpecPagespeed Insights MCP logoPagespeed Insights MCPDembrandt logoDembrandt
CategoryDeveloper ToolsDeveloper Tools
Quality signal68/100 · Great53/100 · Good
Install commandConfirmedConfirmed
TransportLocal subprocess (stdio)Local subprocess (stdio)
AuthAPI key requiredNot declared
PricingBYOK (pay the provider)Not declared
Required env varsGOOGLE_API_KEYNone listed
Verified ownerCommunity listingCommunity listing
GitHub stars763,832
Directory activity 1 views 0 installs 0 upvotes 1 views 0 installs 0 upvotes
Tools6Not listed

Tools & capabilities

Pagespeed Insights MCP tools 6

  • pagespeed_analyze_pageRun a PageSpeed Insights Lighthouse analysis for one public page. Start with report=summary for a health check; choose full for audits, recommendations for a prioritized fix list, audit for non-performance categories, or performance-map for Mermaid. Example: analyze a mobile product page and return the three most useful remediation steps. Returns a report plus structured result. The Google API is contacted and results may be served from the local cache.
  • pagespeed_diagnose_pageInspect one page through exactly one diagnostic lens: visual, elements, network, javascript, images, render-blocking, or third-parties. Use after pagespeed_analyze_page identifies a problem; do not use it for a general score. Example: focus=render-blocking to identify CSS/JS delaying first render. Returns focused evidence rather than a full Lighthouse dump.
  • pagespeed_get_field_dataGet real-user Core Web Vitals from Chrome UX Report, not Lighthouse lab measurements. Use scope=page for one URL; use scope=origin with a bare origin when the page has insufficient traffic. Example: check mobile LCP and INP for https://example.com/checkout. Returns p75 field metrics or a clear no-data result.
  • pagespeed_compare_pagesCompare two pages now (mode=pages) or measure one page against its locally stored baseline (mode=baseline). Baseline mode records the first call; use runs=3 or more and rely on guaranteed deltas, not medians alone. Example: compare staging against production, or verify whether a deployed fix improved mobile LCP. replaceBaseline overwrites local baseline state.
  • pagespeed_analyze_batchAnalyze 1–10 public URLs and return per-page results plus success/failure counts. Use pagespeed_analyze_page for one URL or pagespeed_compare_pages for a direct comparison. Example: triage the ten highest-traffic landing pages. Progress notifications are emitted when supported by the client.
  • pagespeed_clear_cacheClear only this server process's in-memory PageSpeed response cache, forcing later analysis calls to contact Google again. Use after a deploy when a cached result is stale. It does not change the target website, files, or remote data; repeating the call is safe.

Dembrandt tools

No tool names declared yet. Check the project README from the listing page.

Ready-to-paste client configs

Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.

Pagespeed Insights MCP

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "pagespeed-insights-mcp-2": {
      "command": "npx",
      "args": [
        "-y",
        "pagespeed-insights-mcp"
      ],
      "env": {
        "GOOGLE_API_KEY": "YOUR_GOOGLE_API_KEY_HERE"
      }
    }
  }
}

Dembrandt

mcpServers (Claude Desktop / Cursor)
{
  "mcpServers": {
    "dembrandt": {
      "command": "npx",
      "args": [
        "-y",
        "dembrandt"
      ]
    }
  }
}

Frequently asked questions

Pagespeed Insights MCP is categorized under Developer Tools and uses a local stdio subprocess. Dembrandt belongs to Developer Tools and uses a local stdio subprocess. Pick Pagespeed Insights MCP for developer tools work and Dembrandt for developer tools.

Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.

Pagespeed Insights MCP is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. Dembrandt has no declared pricing — check the project's own site. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.

Yes. MCP clients support multiple servers: add pagespeed-insights-mcp-2 and dembrandt as separate keys in the same mcpServers object, and your assistant will call tools from either one.

On AllMCPs, Pagespeed Insights MCP has a quality signal of 68/100 (Great) with 1 views, 0 installs and 76 GitHub stars. Dembrandt has 53/100 (Good) with 1 views, 0 installs and 3,832 GitHub stars.