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디렉토리 플랫폼 템플릿

MCP server bringing v0-like frontend UI generation into IDEs such as Cursor (VSCode-based), Windsurf, and Cline for AI-assisted coding. Key features: AI UI component generation, autocomplete support, prototyping tools. Use cases: accelerating frontend development in AI agents; advantages over native LSP include generative capabilities directly in editor.

Unified MCP server aggregating multiple MCP servers into a single endpoint, integrating with IDEs like VSCode and JetBrains to provide seamless access to diverse tools during coding. Key features include tool discovery, unified API, and simplified management. Use cases encompass code completion for AI agents and debugging workflows; surpasses native LSP by supporting multi-server tool aggregation.

MCP server offering ARIA specification access for integration with VSCode and JetBrains IDEs, enabling AI-driven accessibility compliance. Key features: ARIA autocomplete, debugging for roles/states, WCAG validation. Use cases: code reviews and completion in AI agents ensuring a11y; specialized beyond native LSP syntax checking.

Boilerplate for ActionKit-powered MCP servers, designed for integration into VSCode/JetBrains to build custom developer tools. Key features: quick setup, MCP scaffolding, IDE-compatible templates. Use cases: prototyping MCP servers for AI code completion; easier than native LSP extensions.

MCP server for ALAPI Chinese data services, integrates with VSCode and JetBrains IDEs to provide API access during development. Key features include autocomplete for service calls and debugging endpoints. Use cases: code completion for AI agents using Chinese APIs; extends native LSP with specialized data service integration.

Provides Android device control via ADB, integrating with IDEs like VSCode and JetBrains for mobile testing. Key features: screenshots, UI inspection, touch gestures, logcat, autocomplete for commands. Use cases: debugging and code completion in AI agents for Android dev; superior to native LSP for device interaction.

MCP server for Anki flashcard management, integrates with VSCode/JetBrains for learning tool access in coding sessions. Key features: deck/card operations, spaced repetition autocomplete. Use cases: code completion with educational flashcards in AI agents; adds learning layer beyond native LSP.

Mobile companion MCP server for Google's Antigravity IDE, integrates with VSCode and JetBrains for cross-device AI collaboration and file management. Key features: session mirroring, autocomplete for workflows, debugging across devices. Use cases: on-the-go code completion in AI agents; exceeds native LSP with mobile IDE syncing.

Validates OpenAPI specs via APIMatic engine, integrates with VSCode/JetBrains for real-time linting and scoring. Key features: error reports, autocomplete for fixes, debugging API docs. Use cases: API development completion in AI agents; more comprehensive than native LSP schema validation.

Executes AppleScript for macOS automation, integrates with VSCode and JetBrains for GUI control and scripting in dev workflows. Key features: autocomplete for scripts, debugging executions, system interactions. Use cases: code completion and testing in AI agents on macOS; augments native LSP with OS automation.

A powerful VSCode extension that enables MCP server usage in GitHub Copilot, giving it access to MCP tools, resources, and prompts for enhanced AI-assisted development.

VSCode Extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs. Bridges IDE capabilities with AI assistants through the Model Context Protocol for enhanced code navigation.

VSCode extension with an MCP server that exposes semantic tools like Find Usages and Rename to LLMs, bridging IDE features with AI assistants.

Stata integration for VS Code and Cursor IDE using the Model Context Protocol (MCP) for statistical computing workflows.

VSCode extension that provides file snapshot capabilities, allowing developers to create, manage, and restore workspace file snapshots directly within Visual Studio Code with both manual and automatic modes.

An MCP server marketplace with VS Code integration, supporting one-click installations, Blender 3D visualization, and real-time collaboration for streamlined development.

An MCP server and VS Code Extension that enables automatic debugging via breakpoints and expression evaluation across languages. It allows any LLM (e.g., Claude) to interactively debug any programming language via MCP and a VS Code Extension, providing debugging capabilities through the Model Context Protocol.