Debug
Top open-source Debug AI systems, agents, and MCP tools.
Discover and install verified Debug AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (28)
Open in Advanced FilterRun any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes cluster: real env vars, DNS, network, traffic.
Open-source, license-free MCP server for RTL waveform debug: reads FST waveforms (VCD/FSDB auto-convert) plus a SystemVerilog netlist, with 34 tools covering driver analysis, value/X tracing, pass-fail waveform diff, a browser wave viewer the agent drives, and pre-simulation static analysis.
No-No Debug — Self-evolution system for AI coding assistants. 10 minutes writing code, 2 hours debugging? This skill makes your AI remember all its bugs.
A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.
A host-side, scriptable command-line terminal for Segger-RTT; Also the AI-ready command line for embedded validation.
Gift your VS Code agent a real debugger: breakpoints, stepping, inspection.
A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing
MCP server + CLI + Codex/Claude skill for embedded debugging via probe-rs or OpenOCD — ARM Cortex-M, RISC-V, and Xtensa (ESP32), with AI crash diagnosis
Turn vague product or feature ideas into clear, checkable requirements before planning or coding—mapping rough descriptions to professional terms, exposing ambiguities, and aligning goals, flows, and boundaries. 这是一个需求澄清 Skill：把说不清的想法整理成一份清晰、可核对的需求清单，在执行任务前对齐目标、流程与边界等。
Let AI agents debug the WebViews inside your app and your H5 pages — on real users' phones, over MCP.
An advanced in-memory image visualization plugin for GDB and LLDB on Linux, with experimental support for MacOS and Windows. Previously known as gdb-imagewatch. Also available as an extension for VSCode and forks
Model Context Protocol server retrieving stack traces, error issues, and debug breadcrumbs from Sentry for automated bug fixing.
A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience.
LunaRoute is a high-performance local proxy for AI coding assistants like Claude Code, OpenAI Codex CLI, and OpenCode. Get complete visibility into every LLM interaction with zero-overhead passthrough, comprehensive session recording, and powerful debugging capabilities.
🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost productivity with TDD, debugging, git workflows, document processing, and more. Community-driven, actively maintained.
89 skills and 38 specialized agents that enforce proven engineering practices for AI-assisted development. TDD, systematic debugging, parallel code review, and 10-gate development cycles — as a Claude Code plugin marketplace.
OrcaReplay — Time travel for AI agents. Record, replay, fork, and debug any agent run with any model. Built by the OrcaRouter.ai team.
An interactive disassembler for the CPU 6502, focused on Commodore 8-bit computers. Features a TUI with modern features like x-ref, undo/redo, flow arrows, keyboard-driven, MCP server for auto analysis, VICE debugger and more!
Mini Program Engineering Skill Suite is an Agent Skill suite for evidence‑first mini‑program development. It helps agents bring WeChat or other mini‑program projects from vague intent to reliable engineering work: project intake, product specification, architecture, implementation, UI & device adaptation, debugging, verification, release readiness.
⚡ Modular prompt-engineering framework for AI Agents (Cursor, Claude Code, Copilot). Forces structured SDLC, linear execution, context isolation, and systematic debugging via a standalone Windows launcher. Stop vibe coding, start agentic discipline! 🚀
Multi-agent orchestration platform for Gemini CLI, Claude Code, Codex, and Qwen Code — 39 specialists, parallel subagents, persistent sessions, and built-in code review, debugging, security, SEO, accessibility, and compliance tools
A collection of Docker skills for AI coding agents to help them build, test, debug, and optimize containerized apps with consistent, reusable workflows.
x64dbg-MCP Server is a native MCP (Model Context Protocol) plugin for x64dbg that exposes the debugger's full functionality over HTTP. Connect any MCP-compatible AI assistant and control x64dbg programmatically: set breakpoints, step through code, read memory, dump registers, and more. Built with Zig — zero dependencies, single-binary output, cros
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
A stack-agnostic Claude Code skill: strict code reviewer, pair programmer, debugger, and mentor (Python/Bash/Apps Script/JS). Security-first, phase-aware engineering discipline with a spec→plan→TDD→verify workflow.
Re-debugging Solved Failures? No Way. 500+ Evidence-graded fix lessons, One MCP Call-->https://misakanet.org
Open-source agent skills for debugging and optimizing Apache Spark workloads
Build & Monetize for Debug
Have you created an autonomous agent, MCP server, or Claude Code skill for Debug? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.