What is Vscodedebugger Mcp

VsCodeDebugger-MCP is a Visual Studio Code extension that enables AI agents to interact with VS Code’s debugging capabilities through a Model Context Protocol (MCP) server, facilitating an automated and intelligent debugging experience.

Use cases

Use cases include automated debugging sessions, AI-assisted code analysis, and real-time debugging support for developers working on complex applications.

How to use

To use VsCodeDebugger-MCP, install the extension from the Visual Studio Marketplace, configure your project’s launch.json file, and start the MCP server. You can then utilize AI-driven debugging features directly within VS Code.

Key features

Key features include AI-driven debugging operations, breakpoint management, execution control, MCP server management, and real-time status display in the VS Code status bar.

Where to use

VsCodeDebugger-MCP can be used in software development environments where debugging is essential, particularly in projects that leverage AI for enhanced debugging processes.

VSCode Debugger MCP

This is a VS Code extension designed to enable AI agents to interact with VS Code’s debugging capabilities through a Model Context Protocol (MCP) server, achieving an automated and intelligent debugging experience. Assisted development using RooCode + Gemini 2.5 Pro.

✨ Features

• 🤖 AI-Driven Debugging:
  • Allows AI agents to perform standard VS Code debugging operations through the MCP tool interface.
  • Debug Configurations: Reads the project’s launch.json file to get available debug configurations.
  • Breakpoint Management: Set, remove, and query breakpoints, supporting regular breakpoints, conditional breakpoints, hit count breakpoints, and log points.
  • Execution Control: Start debugging sessions (launch or attach mode), continue execution (Continue), step through code (Step Over, Step Into, Step Out), and stop debugging sessions.
  • (Future) Inspect variable values, traverse the call stack, evaluate expressions in specific contexts, etc.
• ⚙️ MCP Server Management:
  • Status Bar Integration: Displays the real-time running status of the MCP server in the VS Code status bar (e.g., “Debug-MCP: Running” or “Debug-MCP: Stopped”).
  • Convenient Control: Click the status bar item to quickly start or stop the MCP server.
  • Port Configuration: Automatically detects port occupancy. If the default port is occupied, allows the user to manually specify a new port number, which will be persistently saved.
  • Auto Start: Configurable option to automatically start the MCP server when VS Code launches.
  • Client Configuration: Provides a one-click copy function to easily copy the configuration information (such as URL, port) required to connect to this MCP server to AI clients (e.g., ClaudeDesktop, RooCode, Cline, Cursor, etc.).
• 📡 Communication Protocol:
  • The VS Code extension communicates with the local MCP server via subprocess and IPC.
  • The MCP server communicates with AI clients using HTTP + Server-Sent Events (SSE), ensuring real-time and reliability.

🚀 Requirements

• Visual Studio Code: ^1.85.0 or higher.
• Node.js: ^18.0.0 or higher (for running the MCP server).
• How to Install Node.js: Please visit the Node.js official website to download and install the version suitable for your operating system.
• AI Client: An AI agent client that supports the Model Context Protocol.

📖 Usage Guide

Taking RooCode as an example:

1. Search and install the extension in the VS Code Extensions Marketplace.
   Confirm that the MCP server is running.
   Copy the configuration to the RooCode MCP configuration file.
   Before each use, check if RooCode is connected to the MCP server.

🔧 Extension Settings

This extension provides the following VS Code settings (settings.json):

• vscode-debugger-mcp.server.port (number): The port number the MCP server listens on. Defaults to 6009.
• vscode-debugger-mcp.server.autoStart (boolean): Whether to automatically start the MCP server when VS Code launches. Defaults to true.

🐞 Known Issues / Potential Issues

• Only simple tests have been done with the RooCode client. It is unclear how it works with other clients.
• It is recommended to use project configuration instead of global configuration. First, it is easy to manage. Different projects can use different ports. Second, when debugging VsCode plug-in projects, the debug host window will be opened, resulting in multiple AI clients (RooCode) opening, resulting in session ID conflicts.

Logs and Error Information

If you find errors, you can view the logs in the VS Code Output panel for easier feedback and issue reporting.

• MCP Server Logs:
• Extension and Simulated Client Logs:

🔮 Future Development Plan

• Variable and Scope Inspection:
  • Implement get_scopes tool: Get scopes (e.g., local variables, global variables) for a specified stack frame.
  • Implement get_variables tool: Get a list of variables and their values for a specified scope or expandable variable.
• Expression Evaluation:
  • Implement evaluate_expression tool: Evaluate an expression in the context of a specified stack frame.
• Internationalization
• • English version of README images and usage guide.

Thanks to the following excellent open source projects

RooCode