An implementation of the Model Context Protocol (MCP) that enables interaction with debug adapters, allowing language models to control debuggers, set breakpoints, evaluate expressions, and navigate source code during debugging sessions.
MCP server for AI-assisted Python debugging using debugpy and Debug Adapter Protocol, enabling AI agents to run tests, set breakpoints, and inspect variables via natural language.
MCP server that lets AI coding tools control and observe a running Node.js process through the chrome devtools protocol (CDP), via a lightweight Debug Adapter Protocol (DAP) bridge.
Enables AI assistants to perform interactive Python debugging with breakpoints, step execution, and variable inspection using the Debug Adapter Protocol (DAP) through an MCP server interface.
An MCP server and VS Code extension that enables AI clients to interactively debug code using breakpoints, execution control, and state inspection. It is language-agnostic and works with any debugger that supports VS Code's launch.json configurations.
