MCP server for AI-assisted Python debugging using debugpy and Debug Adapter Protocol, enabling AI agents to run tests, set breakpoints, and inspect variables via natural language.
An AI-powered debugging MCP server that detects silent failures, captures browser network requests, and enables automated diagnostics, root-cause analysis, and multi-agent repair through MCP tools.
MCP server bridging Lauterbach TRACE32 debuggers to AI agents for autonomous debugging, providing 47 tools for execution control, breakpoints, memory, registers, variables, and symbol inspection.
A source-aware MCP server that connects AI agents to browser and server runtimes, enabling real-time debugging, monitoring, and automatic fixes via WebSocket or HTTP.
An MCP server and VS Code extension that enables AI clients to interactively debug code using breakpoints, execution control, and state inspection. It is language-agnostic and works with any debugger that supports VS Code's launch.json configurations.
An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.