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bymalvex
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Productivity & Workflow
Developer Tools

Enables AI assistants to programmatically access VS Code's language intelligence, debugging, and code execution capabilities through the Model Context Protocol.

About

Acts as a bridge between AI assistants, such as Claude Code, and the VS Code integrated development environment. This extension provides a Model Context Protocol (MCP) server, empowering AI to leverage VS Code's rich feature set for advanced code understanding, navigation, debugging, and refactoring tasks. It allows AI to seamlessly interact with your codebase, improving development workflows and accelerating problem-solving.

Key Features

  • Programmatic access to VS Code's language server features (e.g., Go to definition, Find references, Diagnostics).
  • Comprehensive control over VS Code's debugger (e.g., start/stop sessions, set breakpoints, step through code, inspect variables).
  • Refactoring capabilities, including safe renaming of symbols across all files.
  • 0 GitHub stars
  • Support for symbol-based code navigation and operations across the entire workspace.
  • Flexible output formats optimized for AI token efficiency (compact) or detailed analysis (detailed).

Use Cases

  • Automate code understanding and navigation for AI assistants within a VS Code workspace.
  • Enable AI to perform safe, workspace-wide code refactoring, such as renaming symbols.
  • Facilitate AI-driven debugging by allowing control over debug sessions, breakpoints, and runtime inspection.