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Why this server?
Enables comprehensive GitHub operations through natural language including file management, repository administration, issue tracking, and code search, which are crucial for frontend development workflows.
Why this server?
Enables AI models to access GitHub repository contents as context, fetching repositories and file contents, beneficial for understanding and working with frontend codebases.
Why this server?
A server that makes documentation or codebases searchable by AI assistants, allowing users to chat with code or docs which can help with frontend development tasks.
Why this server?
Allows AI models to run JavaScript/TypeScript code, supporting script execution and REPL sessions, useful for testing and prototyping frontend code.
Why this server?
A tool that integrates Figma with Cursor, allowing users to retrieve, optimize, and convert design data from Figma files into structured CSS and design tokens, helpful for frontend development.
Why this server?
Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers, which is useful for automated testing or scraping tasks.
Why this server?
Provides HTML file preview and analysis capabilities, enabling capturing full-page screenshots of local HTML files and analyzing their structure.
Why this server?
A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
Why this server?
Bridges Large Language Models with Language Server Protocol interfaces, allowing LLMs to access LSP's hover information, completions, diagnostics, and code actions for improved code suggestions.