Aidb, an MCP server by AI Debugger Inc, bridges AI agents and coding assistants to the Debug Adapter Protocol (DAP) ecosystem. This free Python-based tool, installed via "pip install ai-debugger-inc", enables AI-assisted debugging across multiple programming languages. It automatically downloads necessary debug adapters upon initial use, simplifying setup for developers and AI systems. Aidb acts as a central hub for advanced debugging operations, connecting various AI clients to powerful diagnostic capabilities.

What does Aidb connect to?

Aidb connects AI agents and coding assistants directly to the Debug Adapter Protocol (DAP) ecosystem. It functions as an MCP server, allowing AI systems to interact with standard debugging tools. The tool is built with Python and distributed as a Python package. Upon first use, its agent automatically downloads specific debug adapters for various languages. It supports integration with AI clients such as Claude Code, Cline, Cursor, Cowork, Codex, and GitHub Copilot in Visual Studio Code.

Core features and tools

Aidb exposes numerous debugging capabilities via MCP, described as "23 Tools." These include Debug Session Management for starting and stopping sessions, Breakpoint Management supporting conditional breakpoints, and Execution Control. It also offers Variable Inspection, Expression Evaluation, and Stack & Thread Navigation to examine program states. A "Companion Skill" is also part of its offerings, extending its utility for AI-driven debugging tasks.

Who is it for?

Aidb targets developers, AI agents, and AI coding assistants seeking advanced debugging integration. It is suitable for those who need AI systems to interact with and control debugging sessions. The tool supports AI agents in diagnosing issues in Python, JavaScript, TypeScript, and Java programs. It also helps coding agents like GitHub Copilot analyze call stacks and inspect variables. Skip this if your debugging needs do not involve AI agent interaction or automated session control.

How to get started

No credentials are required. The setup primarily involves installing the Python package and configuring the MCP client with a command.

Use cases

• AI-assisted debugging: Enables AI agents to debug Python, JavaScript, TypeScript, and Java programs by using the DAP ecosystem through the MCP interface.
• Autonomous AI debugging: Allows AI assistants to control debugging sessions, including setting breakpoints, pausing execution, inspecting variables, and stepping through code.
• Troubleshooting complex runtime issues: Assists coding agents like GitHub Copilot to diagnose and understand runtime problems by analyzing call stacks and inspecting variable states.

Aidb by AI Debugger Inc offers a specialized MCP server for integrating AI agents with debugging workflows. Its Python foundation and DAP bridge capabilities make it a valuable tool for AI-assisted and autonomous debugging across several languages. The system provides essential debugging functions for developers and AI systems. Try using Aidb to enable an AI assistant to autonomously set a conditional breakpoint in a Python program.