MCP server for AgentLens — zero-code observability for MCP-native AI agents
Diagnose and fix defects.
MCP server for AgentLens — zero-code observability for MCP-native AI agents
MCP server exposing Android Debug Bridge (ADB) capabilities as tools and resources.
MCP server for interacting with LLM traces - search, analyze, and debug your AI agent executions
Local-first flight recorder for AI agents: sessions, costs, loop runs, and stuck-loop flags.
Local-first MCP server for Android debugging via ADB, JDI, LLDB, and Flutter.
Debug PWAs in your real browser via MCP: service-worker, cache, installability & framework state.
Debug and explain LP/MILP models: why infeasible, the smallest fix, what-if and sensitivity.
Prior art for AI agents. claim --yes --share-yes shares to the commons; claim --yes stays local.
Turn bug screen recordings into chronological context for AI agents: frames, OCR, logcat, voice.
Self-hosted stealth browser for AI agents: Firefox engine + Rust MCP runtime.
RenderDoc capture and replay automation skills for DCC-MCP
Read-only VMware incident correlation: timeline, spikes, root-cause routing. 2 MCP tools.
[](https://glama.ai/mcp/servers/nnemirovsky/iwdp-mcp) - iOS Safari debugging via ios-webkit-debug-proxy with WebKit Inspector Protocol support: DOM, CSS, network, storage, debugger and more.
Command wrapper MCP server for coding agents, compression, workflows, and local automation.
Record debug sessions, commands, failed attempts, and successful fixes in local SQLite storage.
AI-native MCU debugging and observability through probes, symbols, RTOS, logs, and build tools.
Debug any supported language with breakpoints, variable/state inspection, and stepping.
AI agent observability with deterministic record/replay for debugging agent failures.
Gold-first AI-agent traceback diagnosis, exact fixes, verification, and reusable prescriptions.
AI-powered log analysis - parse, search, extract errors across 9+ formats