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Capture website HAR data for auditing, API reverse engineering, and code generation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "HAR-MCP" yet — see the docs or source repo.
Use HAR-MCP to capture HAR data for this ecommerce homepage and analyze the main causes of slow first paint. Provide optimization suggestions by request timing, asset size, and blocking chains: https://example.com
A performance analysis highlighting slow requests, oversized assets, render-blocking issues, and optimization recommendations.
Use HAR-MCP to open this post-login data page and extract all key API request details, including URL, method, headers, parameters, and auth mechanism. Organize them into API documentation: https://example.com/dashboard
A structured API inventory with key request details, call sequence, and reusable interface documentation.
Based on network requests captured with HAR-MCP, generate a Python script that reproduces the target API call flow, including headers, cookies, pagination parameters, and error handling.
Runnable sample code that reproduces the API requests, along with essential parameter notes.
Parse and analyze HAR files to troubleshoot network traffic with automatic redaction.
Load and analyze HAR files locally with structured summaries for AI assistants.
Turn HAR-captured web traffic into callable API tools for AI assistants.
Automate browsers to capture page data, logs, and network insights for testing.
Automate browser tasks, capture console logs, and take screenshots for web workflows.
Extract, analyze, and clone front-end code with browser automation.