"Finding the Best Minecraft Proxy (MCP) Server for Visual Studio Code" matching MCP servers:

Enables agent-driven CAD automation by inspecting, editing, and validating DWG drawings through a handle-first workflow, with support for visual grounding, CADPlan execution, and local SQLite workspace management.

Enables MCP clients to control a Minecraft survival character via Mineflayer, with a web UI, viewer, and custom TypeScript script execution.

Enables AI agents to control a Minecraft bot for movement, building, crafting, and instant schematic-based structure spawning via MCP tools.

Provides image recognition capabilities to Codex/Claude Code by routing 'look at screen/screenshot' requests to a multimodal model via an API relay. Enables UI automation agents to analyze local screenshots and return descriptions or structured JSON coordinates.

Enables AI agents to control a Minecraft bot inside a Java Edition world via MCP, providing tools for movement, building, mining, combat, farming, trading, inventory, and world perception.

A local MCP server that lets AI assistants control a Minecraft player on a local Paper server, enabling movement, block breaking/placing, combat, inventory management, chat, and op-level commands like teleport, gamemode, and summoning.

Exposes Minecraft server commands via RCON as a tool, and optionally powers an in-game AI chat listener that answers player questions using Claude.

A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and interact with the game environment through natural language instruction

An MCP server that connects an AI assistant to a Minecraft server via a Mineflayer bot, supporting creative and survival modes with distinct toolsets.

An MCP server that enables AI agents to play Minecraft with full bot capabilities including pathfinding, block interaction, crafting, combat, and more.

Enables LLMs to control a Minecraft bot through the Mineflayer API, allowing for tasks like building, mining, and inventory management via natural language. It supports complex interactions including coordinate-based movement, block manipulation, and real-time game chat.

Enables MCP clients such as AstrBot, Claude, Cursor, or custom scripts to control a Minecraft bot over SSE through 49 tools covering perception, movement, building, gathering, crafting, combat, farming, memory, social interaction, and autonomous skills. It supports multi-client body control, emotion and event context, and survival/companion behaviors.

Enables AI agents to control Minecraft bots through over 30 verified skills including navigation, resource gathering, and advanced building. It allows for multi-bot management and seamless integration with MCP clients to automate complex in-game tasks.

Enables AI models like Claude to control a Minecraft character through natural language commands, supporting movement, inventory, block interactions, and more.

Enables AI agents to control Minecraft bots via natural language commands by bridging a Python MCP server with a Node.js Mineflayer bridge. It supports a wide range of in-game actions including complex pathfinding, resource gathering, crafting, and combat.

Enables AI assistants to remotely control a Minecraft player, including navigation, mining, building, and interaction with the world and other players.

Local MCP server that lets AI agents control a Minecraft Forge 1.20.1 NPC to chat, move, gather, craft, build, fight, and manage inventory in a single-player world.

Enables an MCP client to run and control an authorized local Minecraft Java game session with guarded inventory/crafting checks, a persistent backend, and a restartable controller while keeping configuration and game state local.

Serves TypeSafe's Jev ruleset to MCP hosts as a prompt and instruction tool, enabling agents to experiment with Jev's natural-language decision capabilities.

Enables LLM agents to orchestrate a film production pipeline from brief to final cut, including shot planning, rendering, quality control, and assembly, using block-method planning and style-drift QC.