#debugging

An MCP server to allow you to debug webpages using LLMs

An MCP server for GDB debugging.

Mirror of

Model Context Protocol (MCP) server that interacts with a Debugger

Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for seamless Claude Desktop and other LLM Client integration.

🚀 A powerful MCP server for debugging Electron applications with deep Chrome DevTools Protocol integration. Control, monitor, and debug Electron apps through a standardized API.

A rubber duck MCP server for your LLM coding agent

Debug your remote Node.js and Next.js applications directly from your AI IDE like Cursor.

MCP server that connect to your browser using --remote-debugging-port

[MCP Server] Complete QA for cursor -> (soon to be renamed to VibeCheck)

x64dbg x32 MCP server

With this MCP, you can debug your application by querying any issue to an LLM using the latest documentation available on the web. We currently support LangChain, LlamaIndex, and OpenAI docs, but you can add any other sources as needed.

Trigger a help request directly from your IDE via MCP and get human help in minutes

[MCP Server] Complete QA for cursor

Test and debug your MCP (Model Context Protocol) servers directly in your browser. No installation or command line needed. Simplify MCP development with our online inspector.

🚀 The ONLY browser automation that bypasses Cloudflare, antibots, and social media blocks. Supercharge any MCP-compatible AI agent with undetectable, real-browser automation. No CAPTCHAs. No blocks. Just results.⚡ 30-second setup • 🛡️ Undetectable by design • 🏆 98.7% success rate on protected sites • 🕵️ Full network debugging via AI chat Features: Works on protected sites that block traditional automation- Pixel-accurate element cloning via Chrome DevTools Protocol - Full network debugging through AI chat — see every request, response, header, and payload- Your AI agent becomes a network detective — no more guessing what APIs are being called- 🎛️ Modular architecture — disable unused sections, run minimal installs- ⚡ Lightweight deployments — from 21 core tools to full 88-tool arsenal- Clean MCP integration — no custom brokers or wrappers needed- 88 focused tools organized into 11 logical sections

An MCP server that autonomously evaluates web applications.

Stop AI coding disasters before they cost you weeks. Real-time anti-pattern detection for vibe coders who love AI tools but need a safety net to avoid expensive overengineering traps.

[MCP Server] Complete QA for cursor

A Java-based Model Context Protocol (MCP) server that provides deep introspection, monitoring, debugging, and REPL capabilities for Java applications. Descartes enables AI assistants to interact with running Java processes through a comprehensive set of tools and resources. Kind of does for the Java backend what Playwright does for the frontend. Easy to add as a maven dependency to your Java application.

The Inspector MCP Server bridges the gap between AI coding assistants and production application monitoring, enabling developers to leverage AI for faster debugging and improved application reliability. Built specifically for the PHP ecosystem, this server integrates seamlessly with Inspector.dev to provide AI agents with real-time access to production error data and intelligent analysis.

MCP server for interactive debugging

Build, test, debug, and interact with desktop and mobile applications with the Tauri framework. Screenshots, DOM state, and console logs from your running app give the AI rich context to understand what's happening—and tools to interact with it.

TestDino MCP boosts your AI assistant with powerful tools and analysis capabilities. It lets your AI analyze test runs, perform root-cause analysis, and detect failure patterns