Aidb
Let your agent set breakpoints, inspect variables, and step through runs when bugs appear during build, test, or production triage.
Overview
io.github.ai-debugger-inc/aidb is an Operate-phase MCP server that exposes debugger breakpoints, stepping, and variable inspection so agents can troubleshoot live runs across supported languages.
What is this MCP server?
- Breakpoint, step, and variable/state inspection across supported languages
- stdio PyPI package ai-debugger-inc v0.1.2 for local debugging sessions
- Bridges coding agents to a real debugger instead of guess-and-patch loops
- Useful during ship testing failures and operate-time defect hunts
- Language-agnostic positioning for polyglot solo repos
- Server version 0.1.2 (PyPI stdio package ai-debugger-inc)
What problem does it solve?
When something fails in prod or CI, guessing from logs alone burns solo-builder time and tokens without seeing real program state.
Who is it for?
Polyglot indie devs who want agent-assisted interactive debugging during test failures and production defect triage.
Skip if: Teams that only need centralized log search or APM dashboards with no local debug attachment.
What do I get? / Deliverables
After registration, your agent can drive debugger steps and inspect variables through MCP instead of only editing code blindly.
- MCP-accessible breakpoint and step controls
- Variable and state inspection during agent-led debug sessions
- Faster root-cause loops on failing tests and runtime errors
Recommended MCP Servers
Journey fit
Operate/errors is the canonical shelf because debugger MCP tooling is what you reach for when something breaks and you need live state—not just stack traces. Errors subphase matches breakpoint stepping and variable inspection, which are core incident and defect-resolution workflows.
How it compares
MCP debugger integration, not a cloud observability or error-tracking SaaS.
Common Questions / FAQ
Who is io.github.ai-debugger-inc/aidb for?
It is for developers using MCP-enabled agents who need interactive debugging—breakpoints and state inspection—when fixing failures across supported languages.
When should I use io.github.ai-debugger-inc/aidb?
Use it when tests fail, repro steps are flaky, or operate-time errors need stepping through a live process rather than static code reads.
How do I add io.github.ai-debugger-inc/aidb to my agent?
Install the PyPI stdio MCP package identifier ai-debugger-inc (v0.1.2), configure it in your agent’s MCP settings, and attach to your debuggable process.