# Debugging > Browse 26 items tagged with Debugging. ## Items - [Sentry Error Monitoring MCP](https://mcpserver.ever.works/items/sentry-error-monitoring-mcp) — Official remote Model Context Protocol server connecting LLM clients to Sentry's error monitoring and crash reporting platform. Provides direct access to issues, errors, projects, and AI-powered Seer analysis with OAuth authentication and real-time alerting. - [Chrome DevTools](https://mcpserver.ever.works/items/chrome-devtools) — Use Chrome DevTools for website test speed, debugging, and performance analysis. Essential Chrome developer tools for MCP. - [Chrome DevTools MCP](https://mcpserver.ever.works/items/chrome-devtools-mcp) — AI-driven control of live Chrome via Chrome DevTools: browser automation, debugging, performance analysis and network monitoring. - [Proxyman MCP](https://mcpserver.ever.works/items/proxyman-mcp) — Proxyman MCP allows AI to inspect HTTP traffic, create debugging rules, and control Proxyman - all through natural language conversations. Official MCP server for HTTP debugging. - [Sentry MCP Server](https://mcpserver.ever.works/items/sentry-mcp-server) — Connects AI to Sentry for fetching error contexts, stack traces, breadcrumbs, events, and performance data to enable accurate debugging suggestions. - [Android MCP Server](https://mcpserver.ever.works/items/android-mcp-server) — Provides Android device control via ADB, integrating with IDEs like VSCode and JetBrains for mobile testing. Key features: screenshots, UI inspection, touch gestures, logcat, autocomplete for commands. Use cases: debugging and code completion in AI agents for Android dev; superior to native LSP for device interaction. - [APIMatic MCP](https://mcpserver.ever.works/items/apimatic-mcp) — Validates OpenAPI specs via APIMatic engine, integrates with VSCode/JetBrains for real-time linting and scoring. Key features: error reports, autocomplete for fixes, debugging API docs. Use cases: API development completion in AI agents; more comprehensive than native LSP schema validation. - [Insomnia MCP Client](https://mcpserver.ever.works/items/insomnia-mcp-client) — Insomnia v12 with MCP client support for testing, debugging, and designing APIs. Enables validation of MCP server transformations, AI-powered API commits, and autogenerated mock servers with natural language capabilities. - [MCP Node.js Debugger](https://mcpserver.ever.works/items/mcp-nodejs-debugger) — MCP Node.js debugger that enables AI assistants to debug Node.js applications, set breakpoints, inspect variables, and step through code execution. - [React Native Debugger MCP](https://mcpserver.ever.works/items/react-native-debugger-mcp) — An MCP server that connects to React Native application debugger, enabling AI assistants to inspect app state, debug components, and troubleshoot React Native applications. - [GDB MCP](https://mcpserver.ever.works/items/gdb-mcp) — Facilitates LLM-driven debugging and analysis with GDB through an MCP server interface. - [AgentOps](https://mcpserver.ever.works/items/agentops) — Provide observability and tracing for debugging AI agents with AgentOps API. This MCP server enables developers to monitor, trace, and debug their AI agent applications through natural language interfaces. - [API Lab MCP](https://mcpserver.ever.works/items/api-lab-mcp) — Transform Claude into an AI-powered API testing laboratory. Test, debug, and document APIs through natural conversation with authentication support, response validation, and performance metrics. - [Chrome Debug MCP](https://mcpserver.ever.works/items/chrome-debug-mcp) — An MCP server that allows debugging webpages using LLMs, enabling AI assistants to help identify and fix web page issues through Chrome DevTools integration. - [Deebo](https://mcpserver.ever.works/items/deebo) — Agentic debugging MCP server that helps AI coding agents delegate and fix hard bugs through isolated multi-agent hypothesis testing. - [Frida MCP (NicolasMontone)](https://mcpserver.ever.works/items/frida-mcp-nicolasmontone) — MCP protocol for Frida dynamic instrumentation and debugging. - [GDB](https://mcpserver.ever.works/items/gdb) — GDB/MI protocol server based on the MCP protocol, providing remote application debugging capabilities with AI assistants. Enables AI-powered debugging sessions through standardized GDB/MI interface. - [Graylog](https://mcpserver.ever.works/items/graylog) — Search Graylog logs by absolute/relative timestamps, filter by streams, and debug production issues directly from Claude Desktop. Enables log analysis and troubleshooting through AI interfaces. - [MCP Server ADB](https://mcpserver.ever.works/items/mcp-server-adb) — A Model Context Protocol server for Android Debug Bridge (ADB) control. - [mcptee](https://mcpserver.ever.works/items/mcptee) — Developer tool for MCP that logs stdin transport, enabling MCP developers to inspect and debug the communication between MCP clients and servers during development. - [Multiplayer](https://mcpserver.ever.works/items/multiplayer) — MCP server for analyzing full stack session recordings, enabling AI agents to record bugs, analyze them with LLMs, and get fixes for multi-layer issues. - [Rollbar MCP Server](https://mcpserver.ever.works/items/rollbar-mcp-server) — MCP server providing a bridge to Rollbar's error tracking platform for monitoring and analyzing application errors. Enables AI assistants to retrieve error details, manage projects, track deployments, and analyze error patterns through natural language. - [Amazon SageMaker Unified Studio MCP for Spark Troubleshooting and Code Recommendation](https://mcpserver.ever.works/items/amazon-sagemaker-unified-studio-mcp-for-spark-troubleshooting-and-code-recommendation) — MCP server that integrates with Amazon SageMaker Unified Studio to provide Apache Spark troubleshooting and real-time code recommendations for error and workload analysis on AWS Glue and EMR deployments. - [Apidog](https://mcpserver.ever.works/items/apidog) — Apidog is a collaborative API development platform that enables users to test, debug, mock, and document APIs. It is particularly relevant to MCP servers as it streamlines the process of testing API connections and managing automated workflows between MCP servers and other tools, making it easier to integrate and automate tasks across systems. - [dap-mcp](https://mcpserver.ever.works/items/dap-mcp) — An MCP server bridging debugging tools with AI systems via the Debug Adapter Protocol, enabling debugger control and enhanced workflows—showcasing developer tool integration in MCP servers. - [claude-debugs-for-you](https://mcpserver.ever.works/items/claude-debugs-for-you) — An MCP server and VS Code Extension that enables automatic debugging via breakpoints and expression evaluation across languages. It allows any LLM (e.g., Claude) to interactively debug any programming language via MCP and a VS Code Extension, providing debugging capabilities through the Model Context Protocol. --- _Canonical page: https://mcpserver.ever.works/tags/debugging_