KashunCheng/dap_mcp
Model Context Protocol (MCP) server that interacts with a Debugger
This project offers a specialized server that integrates directly with various debuggers, allowing large language models (LLMs) to interact with and control debugging sessions. It takes a JSON configuration defining debugger paths and settings, and outputs structured debugging information and control commands. This is designed for AI developers or researchers who want to enhance LLMs with advanced code debugging capabilities.
No commits in the last 6 months.
Use this if you are building AI agents or LLMs and need to give them the ability to programmatically debug code, set breakpoints, step through execution, and evaluate expressions.
Not ideal if you are looking for a standalone debugger or a simple Python library for standard debugging tasks.
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35
Forks
6
Language
Python
License
AGPL-3.0
Category
Last pushed
Sep 24, 2025
Commits (30d)
0
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