"MCP servers for curated context in Cursor IDE to plan, debug, and iterate on features" matching MCP servers:

MCP server that brings Trustabl static reliability scanning into Cursor, letting agents inventory agents/tools, flag risky patterns, score production readiness, and write SARIF reports.

An intelligent debugging assistant that automates the debugging process by analyzing bugs, injecting HTTP-based debug logs into code across multiple environments (browser, Node.js, mobile, etc.), and iteratively fixing issues based on real-time feedback.

A Model Context Protocol (MCP) server for debugging and operating Rust Tauri applications over WebSocket.

Enables AI agents to inspect and modify live UI layouts (web DOM or Android Compose) by selecting and dragging elements on the real screen, providing precise element details like source location, anchors, and tweaks for code changes.

Enables any MCP client to debug programs through the Debug Adapter Protocol, supporting launch/attach, breakpoints, stepping, variable inspection, evaluation, and memory operations via a single debug tool.

Enables coding agents to use a real debugger (Python via debugpy) for launching, attaching, setting breakpoints, stepping through code, inspecting stack frames, and evaluating expressions through MCP tools.

Enables reading IDE output, test results, and problems from development environments.

Enables an AI assistant to inspect, validate and step-debug Cardano transactions and Plutus scripts, including finding failing redeemers, explaining ledger/CBOR/CDDL errors, decompiling UPLC, and opening highlighted problems in cquisitor or de-uplc-web.

MCP server for semi-manual QA test execution on real Smart TVs (Tizen/webOS) and local Chrome via Chrome DevTools Protocol, enabling remote control, state inspection, and profiling.

Enables AI agents and MCP clients to drive real Chrome, Edge, Brave, and Firefox browsers through native automation protocols. It exposes tools for navigation, page snapshots, form filling, clicks, screenshots, console/network inspection, and tab management.

Generates quality control plans and inspection reports from technical-drawing PDFs: tolerances, fits, threads, GD&T and surface finishes are extracted automatically by Imnoo's drawing analysis, numbered as balloons with acceptance limits and measuring instruments, and exported as a ballooned drawing PDF, an inspection package and an Excel measurement report.

Enables MCP clients to open websites, capture screenshots at multiple breakpoints, and run automated design audits for issues like overflow, small tap targets, low contrast, missing alt text, tiny text, and clipped content.

Provides AI agents with Roku BrightScript debugging tools, including log reading, scene graph inspection, breakpoint management, variable inspection, and execution control.

Provides Codex and other MCP clients a local web debugging server that coordinates a browser session, JavaScript debugger, bounded runtime evidence, and reproducible flow verification for vanilla HTML/JS projects.

Provides accessibility testing capabilities through CLI, helping identify accessibility issues in web applications using axe-core and Puppeteer.

Enables control of Android devices via ADB for automation and testing. Supports app management, screen capture, UI analysis, and input simulation through natural language commands.

Supercharges AI-assisted debugging of Playwright tests by parsing trace files to extract failures, action history, network logs, screenshots, and suggesting fixes.

Enables AI agents to inspect, log, and control React Native apps on Android emulators or iOS simulators, including UI tree, tap, scroll, and hot reload.

A minimal, secure MCP server for AI-assisted mobile development, enabling build, install, interact, and inspect Android/iOS apps.

An MCP server that enables AI agents to autonomously test, debug, and analyze web interfaces visually using Playwright, with 30 tools for screenshots, workflows, performance, and visual comparison.

An MCP server exposing every documented Email on Acid API v5 request as a tool — 24 tools across authentication, email client lists, email rendering testing, and spam testing.

A local MCP server that gives Cursor Agent three focused QA tools for analyzing user stories, creating test charters, and drafting bug reports, with built-in safety rules and reusable workflows.

Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.

Enables AI coding agents to perform zero-token static audits, simulate refactorings in an ephemeral RAM clone, trace downstream ripple effects, and block unsafe writes with automatic rollback to prevent regressions.

MCP server for debugging Unity Editor managed code, supporting attach, breakpoints, stepping, call stack inspection, and read-only evaluation.

MCP server for debugging MCP host/client custom header implementation, with a tool to inspect request headers.

A minimal MCP server for debugging MCP clients. It echoes back everything it receives — tool arguments, session IDs, metadata — so you can inspect exactly what your client is sending.

Enables multiple AI agent sessions to share a single Mac's Apple Simulator pool through one shared daemon that tracks leases and auto-dispatches freed simulators to the next waiting caller. It provides simulator UI automation, app lifecycle, profiling, live streaming, crash debugging, and HTTPS interception tools, all gated to the lease holder.

Bridges AI agents with VS Code's debugger, enabling breakpoint management, step execution, variable inspection, and stack tracing via CLI commands.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.