$ loading_
Collect web performance metrics and generate normalized reports for issue diagnosis.
This MCP tool appears to collect web performance metrics via Playwright, CDP, and Lighthouse; the materials show no required secrets or fixed remote exfiltration endpoints, and no clear high-risk red flags are evident. Caution is still warranted because it executes browser/analysis code locally, and while open source, it has weak community adoption and unclear maintenance status.
The materials explicitly state that no keys or environment variables are required. No API tokens, account credentials, or other sensitive authentication requirements are described, so credential exposure risk appears low.
No fixed remote endpoint is declared, but by function this tool likely accesses the web pages being analyzed and may trigger network requests to the target site and its dependent resources during page loading. The materials do not indicate data exfiltration to unrelated or unknown services.
The system flags this tool as executes-code, and the description references Playwright, CDP, and Lighthouse, which typically means launching local browser/analysis processes and running automated measurements. This is normal for this class of MCP tool, and the materials do not show requests for dangerous system privileges beyond the stated purpose.
To produce a performance report, the tool is expected to access target page content and related loading metadata; based on typical Playwright/Lighthouse behavior, it may handle page responses, resource timing, and runtime data. The materials do not indicate broad local file read/write access or system-wide data access, so no clear over-privilege is evident from the description.
The project has a public source repository, which is a meaningful risk-reducing factor because it can be audited. However, it comes from a third-party registry, has no declared license, has 0 stars, and shows unknown maintenance status, so supply-chain maturity and maintenance signals are weak; reviewing code and dependencies in an isolated environment is advisable.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Performance Analysis MCP Server" yet — see the docs or source repo.
Use the Performance Analysis MCP Server to analyze the homepage performance of https://example.com, collect Lighthouse, Playwright, and CDP metrics, and return a normalized PerformanceReport highlighting LCP, CLS, TTFB, and optimization opportunities.
A normalized performance report with core metrics, diagnostics, and optimization recommendations.
Analyze the page performance of https://old.example.com and https://new.example.com, return two PerformanceReports, and summarize differences in loading speed, stability, and performance scores.
Two comparable performance reports and a summary of before-versus-after differences.
Run a performance analysis for https://example.com/dashboard, focusing on first paint, script execution, network requests, and asset sizes, then return a normalized report identifying the most likely bottlenecks.
Performance analysis results including bottleneck findings, metric anomalies, and troubleshooting directions.
Automate browser actions, extraction, and testing workflows locally with Playwright tools.
Analyze webpages accurately by combining DOM structure with visual context.
Automate browser actions, testing, and screenshots with Playwright on Cloudflare Workers.
Automate browser navigation, interaction, and content extraction with Playwright tools.
Analyze website performance and diagnose optimization issues with PageSpeed and Chrome UX data.
Capture, filter, and analyze web traffic during Playwright automation workflows.