Debug MCP
D

Debug MCP

A tool that provides Python breakpoint debugging capabilities through the MCP protocol, supporting CLI and AI assistant integration, and implementing production-level debugging functions using the DAP protocol.
2 points
4.5K

What is Debug-MCP?

Debug-MCP is a Python debugging tool that exposes professional debugging capabilities to AI assistants (such as VS Code Copilot) through the Model Context Protocol (MCP). It allows you to set breakpoints, inspect variables, and step through code without leaving the chat interface, just like using the debugger of a professional IDE.

How to use Debug-MCP?

Debug-MCP provides two ways to use it: 1) Interact directly with the AI assistant through VS Code Copilot Chat to debug code; 2) Conduct interactive debugging through the command-line tool. You need to install the tool first, then configure the MCP server connection in VS Code, and then you can request debugging operations in the chat.

Applicable Scenarios

Debug-MCP is particularly suitable for the following scenarios: • Quickly debug code snippets in AI assistants • Understand the execution flow of complex code • Inspect runtime variable values • Teach and learn Python programming • Quickly troubleshoot code logic errors

Main Features

Professional Debugging Based on DAP
Use Microsoft's debugpy to implement production-level debugging, supporting real breakpoint debugging, step-by-step execution, and variable inspection without polluting the Python environment.
Breakpoint Debugging
Set breakpoints at any code line. The program will automatically pause when it reaches that line, allowing you to inspect the variable state and execution context at that time.
Step-by-Step Execution
Supports step into, step over, and step out operations, allowing you to track the code execution flow line by line.
Variable Inspection
View all local and global variables and their values at breakpoints, supporting limited expansion of nested objects and collections.
Session Management
Each debugging task is carried out in an independent session without interference with each other, supporting timeout protection and resource limits.
Dual Interface
It can be integrated with AI assistants through the MCP server or used for interactive debugging through the command-line tool.
Safe Execution
The code runs in a sandboxed subprocess with strict timeout, memory, and path access limits to protect your system security.
Advantages
Debug code without leaving the chat interface, improving development efficiency
Based on the industry-standard DAP protocol, with powerful and reliable debugging capabilities
The code runs in an independent process without polluting your Python environment
Automatically use the Python interpreter and dependencies of the target project
Have strict execution limits to prevent damage caused by malicious code
Support complex step operations and variable inspection
Limitations
Currently only supports Python script files, not modules or pytest tests
Does not support multi-threaded debugging
Variable inspection has depth and size limits (maximum 2 levels of nesting, 50 elements)
Requires VS Code Copilot Chat or a compatible MCP client
The configuration process requires some technical knowledge

How to Use

Install the Tool
Clone the repository and install the Debug-MCP tool. You need to install the uv package manager first.
Configure VS Code Copilot
Configure the MCP server in VS Code to allow Copilot to access the debugging tool.
Configure the MCP Server
Add the Debug-MCP server settings to the configuration file, specifying the tool path and workspace.
Restart VS Code
Restart VS Code to make the configuration take effect, and then you can use the debugging function in Copilot Chat.
Start Debugging
Use the @workspace command in Copilot Chat to request debugging operations.

Usage Examples

Debug Function Logic Errors
When a function returns unexpected results, set breakpoints to inspect intermediate variable values.
Understand Complex Loops
Step through complex loops to observe the changes in each iteration.
Inspect API Response Handling
Set breakpoints in the API response handling code to inspect the data structure.
Debug Conditional Branches
Check why the program enters the wrong branch.

Frequently Asked Questions

Is Debug-MCP safe? Will it execute malicious code?
Do I need to install Python or specific dependencies?
Why choose DAP instead of the traditional bdb debugger?
Can I debug multi-threaded or asynchronous code?
How can I view deeply nested variables?
How long will a debugging session last?
Can I use it without VS Code?
Which Python versions are supported?

Related Resources

VS Code Setup Guide
Detailed configuration steps for VS Code Copilot integration
Quick Start Guide
Examples of CLI and API usage
Complete Specification Document
Detailed functional specification description
Development Guide
Project development, testing, and contribution guide
Roadmap
Function planning for future versions
GitHub Repository
Project source code and issue tracking
debugpy Project
Microsoft's Python debugger implementation
MCP SDK
Model Context Protocol Python SDK

Installation

Copy the following command to your Client for configuration
{
     "mcpServers": {
       "python-debug": {
         "command": "uv",
         "args": ["run", "mcp-debug-server", "--workspace", "${workspaceFolder}"],
         "env": {"PYTHONUNBUFFERED": "1"}
       }
     }
   }

{
  "mcpServers": {
    "python-debug": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/Debug-MCP",
        "run",
        "mcp-debug-server",
        "--workspace",
        "${workspaceFolder}"
      ],
      "env": {
        "PYTHONUNBUFFERED": "1"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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