WebStorm is a specialized JavaScript IDE developed by JetBrains that provides a smart environment for developing web applications with JavaScript, HTML, and CSS.
Enables Codex to retrieve the currently selected file, line numbers, and code snippets from JetBrains IDEs. It leverages the official Claude Code plugin to provide real-time IDE context to the AI.
Last updated
5
3
MIT
Why this server?
Offers integration with WebStorm IDE through plugins for Tailwind CSS assistance
Advanced Model Context Protocol server that integrates Gemini AI with Tailwind CSS, providing intelligent component generation, class optimization, and cross-platform design assistance across major development environments.
Last updated
10
11
MIT
Why this server?
Enables semantic code understanding and manipulation through JetBrains IDE integration, supporting symbol-level code retrieval and editing operations.
A coding agent toolkit that provides IDE-like semantic code retrieval and editing tools, enabling LLMs to efficiently navigate and modify codebases using symbol-level operations instead of basic file reading and string replacements.
Last updated
19
MIT
Why this server?
Allows WebStorm to search daisyUI component documentation, retrieve component props and examples, and list components by category.
Refines and improves AI prompts using workspace-aware context from your project's tech stack, structure, and dependencies. Includes tools to analyze prompt quality and generate well-structured prompts from raw ideas.
Last updated
4
209
5
Why this server?
Integrates prompt engineering tools into WebStorm through the MCP Client plugin, offering project-aware prompt improvements.
Refines and improves prompts using AI-powered prompt engineering with workspace-aware context, analyzing your project's tech stack, structure, and dependencies to generate better-tailored prompts.
Last updated
4
209
5
Why this server?
Supports JetBrains WebStorm through the intellij-protolint plugin for Protocol Buffer linting
Allows configuring the mcp-context-cache server in WebStorm to provide efficient context caching for AI agents, enabling single-tool access to project files.
Efficiently loads, caches, and delivers project file context for AI agents using the Model Context Protocol, reducing multiple file reads to a single call with LRU caching and security validation.
Last updated
14
MIT
Why this server?
Integrates with WebStorm to provide context-aware web search capabilities using You.com Search API.
A Model Context Protocol (MCP) server that provides web search functionality using the You.com Search API. Built with Bun runtime for optimal performance and supports multiple transport protocols for compatibility with different MCP clients.