Knowledge Base

Thanks to advancing artificial intelligence technologies, automation, analysis, and troubleshooting processes in web development and cybersecurity have become more efficient. In this article, we will provide a comprehensive overview of the new transformation in this field by introducing the MCP (Model Context Protocol) tool developed by Smithery.ai, platforms like Context7, and a total of 20 different artificial intelligence tools.

What is Smithery.ai MCP?

https://smithery.ai/server/@microsoft/playwright-mcp

Smithery.ai's MCP (Model Context Protocol) tool is a pioneering solution that integrates modern artificial intelligence models with browser-based testing processes. It automatically analyzes issues such as CSS errors, missing files, JS errors, and broken links on web pages. It provides valuable insights for both frontend and backend developers.

How to Use?

• Go to the site, create an account.

• In the prompt box, for example, type: scan for visual shifts and console errors on https://exampledomain.com and suggest fixes.

• The system opens the page in the background, renders it, performs tests, and then provides a detailed analysis.

What is Context7?

https://context7.com

Context7 is an AI-powered security testing platform. It analyzes potential vulnerabilities and performance weaknesses by simulating web pages in terms of real user, bot, and attacker behaviors. It can be directly integrated into the testing processes of SOC teams.

How to Use?

• Add the project, specify the URL.

• Browser behavior simulation is started.

• Issues such as XSS, CSRF, CORS, and Cookie hijack are automatically scanned.

20 AI-Powered Web Tools – Detailed List

1. Smithery MCP - Web page simulation, browser tests: smithery.ai

2. Context7 - Security scenarios and bot behavior testing: context7.com

3. DeepScan - JavaScript code analysis and error detection: deepscan.io

4. Snyk Code - Scans code vulnerabilities, provides suggestions: snyk.io

5. OWASP ZAP - Open source security testing tool: owasp.org

6. CodeQL - Code querying language for security: codeql.github.com

7. AI CSS Auditor - Scans CSS incompatibilities: Available from Google

8. Ponicode - AI-powered test case generator: ponicode.com

9. Highlight.io - Frontend errors and user behavior: highlight.io

10. Replay.io - Code replay and bug capture: replay.io

11. Codeium - AI-based code completion: codeium.com

12. Copilot Labs - Code suggestion and interpretation module

13. AIRefactor - Refactor suggestions and editing: airefactor.dev

14. VisualCodeGremlin - Code style analysis plugin

15. Firecrawl - AI bot that renders for JS-heavy websites: firecrawl.dev

16. DhiWise - Generates backend/frontend from Figma: dhiwise.com

17. Klu.ai - Creates test scripts with chat: klu.ai

18. Datalogz - SQL dashboard and query analyzer: datalogz.io

19. LangFuse - LLM operations monitoring and logging: langfuse.com

20. Postman AI - Automatic scenario and bug fixing in API tests: postman.com

Recommendations for Developers

• Incorporate tools like MCP or Context7 into your CI/CD processes, especially for your dynamic and interactive websites.

• You can use models like MCP not only for testing but also for random-time analysis in live systems.

• Each tool may have its own usage limits, API key structure, or pricing. In particular, tools like Replay.io and Highlight.io charge per session.

Conclusion
The tools in this list will greatly contribute to your quality assurance, security, and efficiency in the modern web world. Each one goes beyond manual testing, performing AI-powered fast and intelligent analyses. If you want to save time, increase security, and improve user experience, integrating these tools into your system is no longer a luxury, but a necessity.