dakkehkpcaahfjembkhchoplffakkcie
Console to Cursor MCP bridges your browser's console with Cursor IDE. It allows you to easily feed console logs back into the Cursor Composer interface for a more seamless development experience. • Send all console logs (info, warnings, errors) to your local MCP server • Access browser console logs directly in Cursor's AI Composer • Ask Cursor's AI to analyze and debug console errors • Maintain a persistent log history for your debugging sessions • Works with localhost and development environments Perfect for developers who use Cursor IDE and want to leverage AI for debugging web applications. Simply install the extension, run the companion MCP server (available on GitHub), and start debugging with Cursor's AI assistant. This extension is open source and requires the companion MCP server to function. Visit our GitHub repository for setup instructions and documentation.
Hover Console
Step up your JavaScript debugging in-browser with Hover Console Extension. Streamline errors and fix bugs instantly - Try it now! Struggling with JavaScript debugging and console errors in the browser? Tired of losing your valuable data in the tiny console window when you refresh the website? But don’t worry, Hover Console is here to simplify your coding life. This advanced JavaScript debugger empowers developers to analyze code effectively. Get started today and experience the difference for yourself. Your code deserves the best debugging companion, and Hover Console Extension is just a click away! 🟢 Supercharged JS Debugger: ↳ Say goodbye to deciphering complex console logs. Hover Console supports all data types, including text, numbers, arrays, and JSON objects, making debugging more intuitive and efficient. 🟢 AI-Powered Error Resolution: ↳ Hover Console leverages AI to analyze your code and automatically suggest solutions for errors. It doesn’t just identify the problem but provides intelligent, context-aware recommendations, helping you fix bugs faster and with greater confidence. 🟢 Tabular Data Display: ↳ Visualize your data in a structured, easy-to-read format with console.table(). No more scrolling through endless logs—your data is organized and presented clearly in table form. 🟢 Panel Position Control: ↳ Tailor your experience by moving the panel where you want it - side, bottom, or your choice! 🟢 Domain-Specific Panel Toggle: ↳ Sick of cluttered panels? Hide or show it for a specific domain. Your preferences stick, keeping debugging clean and hassle-free, without affecting other websites. 🟩 What’s New: ↳ Enhanced JS debugger integration for easier error tracking and data visualization. ↳ More precise AI-driven suggestions tailored to common JavaScript debugging challenges. ↳ Improved performance for real-time debugging in complex JavaScript environments. 🟩 What's Coming Next: ↳ Our commitment to enhancing your JavaScript debugging experience in the browser doesn't stop here. More powerful JS debugger features are on the way to make Hover Console even more indispensable for JavaScript developers. Install "Hover Console" and elevate your JavaScript debugging to a whole new level. Say hello to a more efficient, organized, and enjoyable coding journey with Hover Console by your side. Get started with the ultimate JavaScript debugger today and experience the difference! 🟩 Should you encounter any issues or have valuable suggestions: 🌎 Join our community: https://fb.com/groups/813948899701642/ ✉️ Email us: info@hoverconsole.com 💬 Chat with us: hoverconsole.com
Tag Manager Server Debug Console
Extension for TMS debug mode This extension only works in combination with the Tag Manager Server (v0.4.0) Tracking setup. It is used to analyze all server requests to and from the TMS. With the TMS Debug Console you can view all dataLayer Push events and executed server tags. TMS Debug Console (chrome extension) 1. Download this Chrome extension from chrome web store: 2. Set the debugAuth code in your config.php: $aConfig['default']['debugAuth'] = '...'; 3. Navigate to your Page with TMS implementation 4. Open the TMS Debug Console Settings with a click on the extension icon - Set the same authCode as before - Activate Debug Console and debugMode if needed - Test new container from your server The coloured background of the numbers shows the status of the current server-side tracking: - grey: inactive Debug Console - green: Browser console logs activated - orange: activated debug mode - purple: container preview - red: invalid debugAuth code or TMS error The two numbers show: - Tag Manager Server Input shows the submitted data from the browser to the TMS API. - Tag Manager Server Action shows the server request of the TMS via the measurement protocol to Google Analytics Browser console output Once you have activated the Debug Console with the appropriate debugAuth code, the browser console will display the most important tracking information. Like this extension the whole server-side tracking solution is still in beta stage. You can find more information on our website.
Browser MCP - Automate your browser using VS Code, Cursor, Claude, and more
The MCP to control your browser. The MCP to control your browser. Browser MCP is a Model Context Protocol (MCP) server that allows clients like VS Code, Claude, Cursor, and Windsurf to automate your browser. Use cases: - Web navigation and form filling - Data extraction from structured content - Automated testing driven by LLMs - General-purpose browser interaction for agents
Prompt Repo - ChatGPT & Claude
Convert GitHub repos and local directories into AI chat prompts. Select files, feed content to ChatGPT and Claude. Prompt Repo lets you easily import GitHub repositories and local directories into AI chatbots like ChatGPT and Claude. This extension enhances your interaction with AI by providing relevant codebase context. - Import GitHub repos or local directories into AI chat prompts - Compatible with ChatGPT, Claude, Google AI Studio - Select specific files or directories to include - Generate a single, well-formatted text prompt from selected code - Click the Prompt Repo button in the AI chat interface - Enter a GitHub repository URL or choose a local directory - Choose which files or directories to include - The extension creates a formatted prompt with your selected code
