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Why this server?
Provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context, which can help explain CSS concepts.
Why this server?
A Cursor-compatible toolkit that provides intelligent coding assistance through custom AI tools for code architecture planning, screenshot analysis, code review, and file reading capabilities, helpful for solving CSS issues.
Why this server?
Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues, potentially including those related to CSS.
Why this server?
Implementation of an MCP server for the RAG Web Browser Actor. This Actor serves as a web browser for large language models (LLMs) and RAG pipelines, similar to a web search in ChatGPT, which could be used to find CSS documentation.
Why this server?
An MCP server that enables analyzing and querying GitHub repositories through the GitHub Chat API, allowing users to ask questions about their code, architecture and tech stack. Useful for understanding CSS within a project.
Why this server?
A Model Context Protocol server that integrates with Storybook to help AI tools query UI components and retrieve usage examples from static Storybook files, helpful for understanding component-level CSS.
Why this server?
Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis, to find resources on CSS.
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, allowing testing of CSS changes.
Why this server?
Provides functionality to fetch web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls, which can be used to retrieve CSS files or related documentation.
Why this server?
analyze your react projects locally, create markdown docs, llm.txt for your react code at once