"nexus play" matching MCP servers:

Provides AI assistants with token-efficient access to Google Play Android Vitals, enabling them to diagnose ANRs, track crashes, analyze startup performance, and compare app versions for release optimizations.

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.

Zero-sidecar MCP server embedded directly in the Godot 4 editor as a GDScript EditorPlugin — no Node or Python sidecar. Reflection-driven tools over any engine class, validate-before-write GDScript, scene/script/resource authoring, and a runtime play-test loop (play, screenshot, input, assert).

Build, sign, and publish iOS and Android apps through AI agents. Integrates Codemagic CI/CD, App Store Connect, and Google Play in one server.

Enables AI assistants to query the Google Play Developer Reporting API for Android production stability data, including crash and ANR issue clusters, de-obfuscated stack traces, release track discovery, startup and crash metric trends, version-to-version comparisons, and anomaly alerts. It also provides guided prompts for incident triage, baseline profile verification, and weekly stability reporting with built-in token compression and caching.

Enables AI agents to play, test and QA Twine / interactive-fiction HTML games by reading passages as Markdown, clicking numbered choices, inspecting story variables, screenshotting, and saving or restoring state to explore branches. It provides a small, token-friendly semantic tool surface with format detection for SugarCube, Harlowe, Snowman and Chapbook games, plus live viewing, console error capture and journal tracking for clean playtesting.

Model Context Protocol (MCP) server for App Store Optimization. Score your App Store / Google Play listing metadata, check character limits, and clean up the iOS keyword field — right inside Claude, Cursor, or any MCP client.

Let coding agents play, test and tune your 2D web game. The debuff MCP server attaches to the game you have open (or runs a headless copy) and gives agents live state, explained and source-mapped errors, frame timings, typed params, deterministic replays and rewind, scenario tests and fuzz playtesting. Everything an agent does shows in your dev panel, where you can undo it.

Enables AI clients to control and inspect a Unity Editor through MCP tools for scene and play-mode operations, logs, screenshots, assertions, Lua execution, UI interaction, world observation, and bridge management; advanced UI/Lua/world features require project-specific adapters.

Lets coding agents open, inspect, play, measure, optimize, and debug three.js, React Three Fiber, and WebGL pages in headless Chrome on a paused seeded clock, with screenshots, scene state, inputs, performance checks, and geometry tools.

Enables estimating LLM hallucination and confabulation by clustering sampled responses into semantic equivalence classes and computing semantic entropy. It provides a plug-and-play validation filter for agent pipelines using the MCP protocol.

Automate Google Play closed testing with AI - skip the hassle of finding testers and waiting 14+ days by telling your AI to handle it.

Enables AI agents to inspect Unity UI Toolkit screens, examine element structure and styles, and capture screenshots without entering Play Mode or building a Player.

Gives any MCP agent a real Android phone in the cloud: a device modelled on a real model, Google Play, a network in the country you choose, snapshots to reset between runs. Four tools: devices, observe, act, snapshots.

An MCP server that connects AI assistants to Unity Editor. It enables executing menu items, manipulating GameObjects, managing scenes, creating materials, running tests, and controlling play mode, all through natural language.

Enables AI agents and other clients to play Ren'Py visual novel games by reading story text and making choices.

Enables AI agents to access observability and evaluation data, including run history, span traces, LLM-as-judge evaluation results, and regression reports.

An MCP server that enables AI agents to play-test Unity games by capturing screenshots and simulating inputs like taps, drags, and key presses, acting as a Playwright for Unity.

Enables AI coding assistants to scan an iOS, Android, Flutter, React Native or Expo project for App Store and Google Play rejection risks, returning deterministic findings that cite the guideline section, link to the official Apple or Google page and explain how to fix each problem. Nothing leaves the machine and no AI is used in the checks.

Enables AI agents to perform one-shot triage of Playwright trace files, pinpointing root causes like backend API failures or locator issues and generating self-healing code fixes in a single low-token call.