Minecraft MCP
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- AlicenseNot gradedqualityBmaintenanceEnables an AI agent to inspect and control a real Minecraft Java client through the Model Context Protocol, exposing world data, screenshots, inventories, chat, and normal player actions under the player's permissions.1MIT
- AlicenseNot gradedqualityAmaintenanceEnables agents to control and observe a Minecraft client through tools for state, entities, commands, chat, recording, waiting, and event replay, bridging any agent runtime to the game.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to remotely control a Minecraft player, including navigation, mining, building, and interaction with the world and other players.MIT
- AlicenseNot gradedqualityAmaintenanceGives AI agents eyes and hands inside Minecraft, letting them capture screenshots from any camera angle, read and click GUIs and menus, chat, press keys and read the HUD on a Fabric client. On a Paper server it also runs console commands and JavaScript against the Bukkit API, reads and edits the world, spawns player-like bots, profiles lag, and builds, deploys and tests plugins.4MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to control Minecraft via MCP with configurable versions, creative building commands, survival helpers, and an autonomous agent loop.Apache 2.0
- AlicenseBqualityCmaintenanceEnables AI agents to operate a Minecraft Java Edition player through MCP, supporting movement, mining, crafting, combat, inventory, and chat with structured observations and action results.18MIT
TDQS
Scored across 5 tools
Each tool targets a distinct action: run code (execute), consume its output (read_output), cancel work (stop), capture the framebuffer (screenshot), and post a player-facing message (chat). The only soft overlap is output surfaces — execute returns inline results while read_output streams buffered output, and chat displays text vs. console.log capture — but the descriptions explicitly delimit these boundaries.
Casing is consistently lowercase snake_case (read_output), but the conventions mix verb-first names (execute, stop, read_output) with bare nouns (screenshot, chat). It remains readable, though there is no single predictable verb_noun pattern across the set.
Five tools is well-scoped for an execution-bridge server: one general-purpose runner plus the lifecycle tools (output, stop) and two I/O channels (screenshot, chat). Nothing feels redundant or padded, and the powerful generic tool absorbs what would otherwise be many narrow tools.
The core loop of run/observe/stop plus visual capture and player messaging is fully covered, with world/player operations reachable through the injected JsMacros APIs. Minor gap: there is no way to enumerate running tasks, so task IDs must be remembered from execute's return value.