"The most downloaded Minecraft Plugin (MCP) right now" matching MCP servers:

Connects AI agents to Minecraft servers via RCON to execute commands, monitor logs, and perform read-only SQLite database queries. It is specifically designed to facilitate AI-assisted plugin development, live debugging, and automated testing workflows.

Provides a stable, side-effect-free MCP tool contract that enables AI workflows to be prototyped, demoed, tested, or dry-run without connecting to databases, APIs, files, or other real data sources. It enables swapping in a real data server later without changing the AI-facing interface.

Enables local authoring and testing of Minecraft Java adventure maps through validated MCP tools, including structure building, snapshot/restore, and automated QA.

Enables AI assistants to automate and test Tauri desktop applications through the Model Context Protocol. It provides tools for app management, UI interaction, and state inspection across multiple platforms without requiring CDP dependencies.

Single MCP server providing over 500 developer tools for Claude Code, covering security, testing, documentation, and more.

This modular system enables automated iOS app development, allowing users to build, test, and orchestrate workflows via natural language with Claude. It provides workflow-specific modules to efficiently manage context and tokens across Xcode, Simulator, and IDB tools.

MCP server for Decky Loader plugin development, providing tools to build, deploy, debug, and capture screenshots/recordings on a Steam Deck via commands like deck.deploy and deck.captureScreenshot.

Enables iOS development automation for Claude Code through modular workflow-specific MCP tools for building, testing, launching, and interacting with Xcode, Simulator, and IDB while minimizing token and context usage.

Enterprise web automation testing MCP server that controls local Chrome via Playwright CDP, providing tools for page element analysis, interaction, dynamic layer exploration, VTable scene graph, test recording, and Shadcn-style Excel export.

Exposes 11 agent-native QA tools over stdio so coding agents can discover a project, analyze risk, select the smallest relevant test set, generate and dry-run tests, triage failures, propose tiered heals, analyze flakes, generate quality reports, and evaluate release readiness. Planning and healing tools stay read-only or propose-only, while execution defaults to dry-run, keeping agent actions safe and evidence-backed.

MCP server for Yunzai Bot that enables LLM-driven automated testing and debugging through mock messages, bot management, and system monitoring tools.

An MCP server that allows AI agents to interact with and debug Tauri applications through screenshots, DOM access, input simulation, and more.

Enables generating NBT structures, placing them in superflat worlds, capturing labeled screenshots, and exporting clean datapacks through MCP.

Enables recording Codex tool failures as redacted .tape evidence, inspecting captured runs, injecting failure conditions, and saving offline regression tests.

Enables MCP clients and agents to query synthetic football match state, key moments, win probability, and player profiles, and to verify claims and on-screen overlay numbers against match state.

Exposes CT's C/C++ verification tools - project setup, analysis, test generation and execution, coverage, reporting - to an MCP client. Requires a local CT 2026.06 or later installation; without one the server reports zero tools.

Visual feedback as agent work packets: stakeholders pin on your live app and your AI coding agent reads each pin (selector, screenshot, DOM, thread, acceptance criteria) via MCP and ships the fix.

Integrates Qlane test management into AI coding editors, enabling agents to view projects, test targets, and test case counts, and plan tests for local diffs.

Enables coding agents to audit public or localhost pages, gather structured SEO evidence, and retrieve compact reports, finding details, and next actions for triage.

Provides 23 Android development tools for Gradle builds, emulator/device lifecycle, APK install/launch, screenshots, logs, ADB and UI Automator automation, along with an android-dev skill for guided workflows.