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    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    6
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    Studio MCP transforms any CLI command into an AI tool by using a simple template syntax to define input schemas and arguments. It enables AI agents like Claude and Cursor to execute local scripts and system commands through a dynamically generated Model Context Protocol server.
    20
    13
    MIT
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    Connects VSCode with MCP to provide AI assistants real-time access to LSP diagnostics, symbol info, and code navigation, enabling efficient code analysis without slow build commands.
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    An MCP server that gives Claude IDE capabilities inside VS Code and Cursor, enabling file operations, shell commands, and workspace management via natural language.
    12
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    Enables AI agents to programmatically control and automate VSCode by interacting with its UI, executing commands, and inspecting the DOM structure. It supports advanced workflows like UI testing, extension development, and debugging through a standalone VSCode instance.
    10
    8
    MIT
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    An MCP server that transforms Claude Code into an intelligent refactoring assistant, enabling code scanning, hotspot detection, optimization reports, and safe refactoring for large repositories.
    25
    6
    MIT
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    Provides 26 MCP tools for designing, previewing, and safely applying visual skins to DeepSeek Harness, enabling AI agents to perform complete skin workflows from image upload to theme application.
    2
    MIT
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    A local TypeScript MCP server for macOS that connects to Chrome via CDP to search and download high-quality image candidates from curated sources like Unsplash, Pexels, and others for use in posters, wallpapers, and inspiration boards.
    11
    MIT
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    Exposes VS Code's Debug Adapter Protocol as MCP tools, enabling AI coding agents to set breakpoints, step through code, inspect variables, and read exceptions in a real debug session.
    GPL 3.0
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    Exposes Jupyter notebook operations as MCP tools over plain HTTP, allowing AI agents to explore, edit, run, and debug notebooks in a live VS Code session using local or remote kernels.
    MIT