---

MindPy lets you write Python bots for Minecraft servers — from a simple greeter to a full autonomous AI agent — using a clean, event-driven API with zero external Minecraft dependencies.

import asyncio
from mindpy import Bot, EventTypes, Event

async def main():
    async with Bot("mc.example.com", username="Scout") as bot:

        @bot.on(EventTypes.BOT_SPAWNED)
        async def on_spawn(event: Event) -> None:
            await bot.chat("Hello, world!")

        @bot.on(EventTypes.CHAT_MESSAGE)
        async def on_chat(event: Event) -> None:
            raw = event.data["raw"]
            if "come here" in raw:
                await bot.chat("On my way!")

        await bot.run()

asyncio.run(main())

---

Features

Category	Capabilities
Protocol	Asyncio-native MC Java Edition 1.8 → 1.21+, no PyCraft dependency
Auth	Offline mode + Microsoft OAuth2 (Device Code Flow) online mode
World	numpy uint16 chunk storage, 3-D spatial entity index
Navigation	A* pathfinding (Chebyshev heuristic), waypoints, path smoothing
AI	OpenAI / Anthropic / Gemini / Ollama LLM providers, tool calling, reflection
Memory	Working, short-term, long-term, conversation, world, player, task, knowledge-base
Tasks	Interruptible, suspendable, serializable, cancelable task system
Goals	Hierarchical goal decomposition
Events	Priority-sorted publish/subscribe with wildcard patterns & SubscriptionToken
Plugins	Auto-discovery, dependency resolution, lifecycle hooks
Config	YAML / JSON / TOML / env-var config with sentinel-safe fallbacks
CI	ruff, mypy, pytest on Ubuntu + Windows, PyPI trusted publishing

---

Installation

Requires Python ≥ 3.12

pip install mindpy

With LLM support:

pip install "mindpy[llm]"      # OpenAI, Anthropic, Gemini

Development install:

git clone https://github.com/AnujaGajaweera/MindPy.git
cd MindPy
pip install -e ".[dev,llm]"
pre-commit install

---

Quick Start

Offline mode (cracked server)

import asyncio
from mindpy import Bot, EventTypes, Event

async def main():
    bot = Bot(host="localhost", port=25565, username="MyBot")

    @bot.on(EventTypes.BOT_CONNECTED)
    async def ready(event: Event) -> None:
        await bot.chat("MindPy is online!")

    async with bot:
        await bot.run()

asyncio.run(main())

Online mode (Microsoft account)

import asyncio
from mindpy import Bot
from mindpy.protocol.auth import MicrosoftAuth

async def main():
    # Authenticate once — paste the URL into your browser
    async with MicrosoftAuth() as auth:
        profile = await auth.device_flow_auth()

    async with Bot("mc.example.com", auth_profile=profile, online_mode=True) as bot:
        await bot.run()

asyncio.run(main())

Choosing a protocol version

from mindpy import Bot
from mindpy.protocol.codec import ProtocolRegistry

# List all explicitly supported versions
print(ProtocolRegistry.supported_versions())
# [47, 340, 754, 762, 765, 769]

# 47  = Minecraft 1.8
# 340 = Minecraft 1.12.2
# 754 = Minecraft 1.16.5
# 762 = Minecraft 1.19.4
# 765 = Minecraft 1.20.4
# 769 = Minecraft 1.21+   (also used as fallback for 1.21.x patches)

bot = Bot("localhost", protocol_version=769)  # explicitly use 1.21

---

Event System

Every in-game event flows through the EventBus:

from mindpy import Bot, Event, EventTypes
from mindpy.events import handler          # class-level decorator
from mindpy.events.event import EventPriority

bot = Bot("localhost")

# --- Option 1: fluent bot.on() decorator ---
@bot.on(EventTypes.CHAT_MESSAGE, priority=EventPriority.HIGH)
async def on_chat(event: Event) -> None:
    print(event.data["raw"])

# --- Option 2: wildcard subscription ---
@bot.on("bot.*")
async def on_any_bot_event(event: Event) -> None:
    print(f"[bot] {event.event_type}")

# --- Option 3: SubscriptionToken (cancel later) ---
token = bot.event_bus.subscribe("player.joined", on_chat)
# ... later:
token.cancel()

# --- Option 4: wait for a single event ---
event = await bot.event_bus.wait_for(EventTypes.BOT_SPAWNED, timeout=30.0)

Built-in event types (mindpy.events.event.EventTypes):

Event	Trigger
bot.connected	TCP connection + login succeeded
bot.disconnected	Graceful or forced disconnect
bot.spawned	JoinGame packet received
bot.died	Health reached 0
bot.health_changed	UpdateHealth packet
bot.position_changed	Server-forced teleport
bot.reconnecting	Reconnect attempt starting
bot.error	Unhandled connection error
chat.message	Any chat packet received
chunk.loaded / chunk.unloaded	World chunk events
entity.*	Entity spawn/despawn/move/damage
task.* / goal.*	Task and goal lifecycle
plugin.*	Plugin load/unload

---

Bot API Reference

Bot.__init__

Bot(
    host: str = "localhost",
    port: int = 25565,
    username: str = "MindPyBot",
    auth_profile: AuthProfile | None = None,
    protocol_version: int = 765,       # 1.20.4 default
    online_mode: bool = False,
    view_distance: int = 10,
    config: Config | None = None,
)

Core methods

Method	Description
await bot.connect()	TCP connect + full login sequence
await bot.disconnect()	Graceful disconnect, publishes event
await bot.reconnect()	Exponential-backoff retry loop
await bot.run()	Block until disconnected
await bot.chat(msg)	Send chat message (truncated to 256 chars)
await bot.say(msg)	Alias for chat()
await bot.move_to(x, y, z)	Send position update packet
bot.is_connected()	True if in PLAY state
bot.get_position()	(x, y, z) tuple
bot.get_health()	Current health (0.0–20.0)
bot.get_hunger()	Current food level (0–20)

BotState fields

bot.state.connected       # bool
bot.state.health          # float (0.0–20.0)
bot.state.hunger          # int (0–20)
bot.state.saturation      # float
bot.state.x, .y, .z       # float – world position
bot.state.yaw, .pitch     # float – look direction
bot.state.entity_id       # int – server-assigned entity ID
bot.state.game_mode       # int – 0=survival 1=creative 2=adventure 3=spectator
bot.state.dimension       # str – e.g. "minecraft:overworld"
bot.state.position        # property → (x, y, z)

---

Protocol Layer

mindpy.protocol is a standalone asyncio-native Minecraft protocol implementation — no any other external MC protocol library needed.

from mindpy.protocol import MinecraftConnection, ProtocolRegistry, ConnectionState
from mindpy.protocol.login import LoginOrchestrator

# Low-level usage (normally you just use Bot)
conn = MinecraftConnection("localhost", 25565, protocol_version=765, registry=...)
await conn.connect()

orchestrator = LoginOrchestrator(conn, username="Bot")
await orchestrator.login()    # transitions conn to PLAY state

# Register per-packet handlers
from mindpy.protocol.versions.v765 import KeepAliveClientboundPacket

@conn.on_packet(KeepAliveClientboundPacket)
async def handle_ka(packet):
    ...

---

AI Integration

import asyncio
from mindpy import Bot, EventTypes, Event
from mindpy.llm import LLMManager
from mindpy.ai import AIAgent, AgentContext

async def main():
    # Setup LLM
    llm = LLMManager()
    llm.setup_openai(api_key="sk-...", model="gpt-4o")

    agent = AIAgent(llm, system_prompt="You are a Minecraft helper bot.")

    bot = Bot("localhost")

    @bot.on(EventTypes.CHAT_MESSAGE)
    async def on_chat(event: Event) -> None:
        raw = event.data.get("raw", "")
        ctx = AgentContext(position=bot.state.position, health=bot.state.health)
        reply = await agent.decide(ctx, user_message=raw)
        await bot.chat(reply[:256])

    async with bot:
        await bot.run()

asyncio.run(main())

---

Testing

# Run all tests
pytest

# Run only protocol tests
pytest tests/test_protocol.py -v

# Run with coverage
pytest --cov=mindpy --cov-report=term-missing

---

Documentation

Doc	Link
Getting Started	docs/getting-started.md
Architecture	docs/architecture.md
API Reference	docs/api.md
Plugin Development	docs/plugin-development.md
Protocol Guide	docs/protocol.md
Examples	examples/

---

Contributing

See CONTRIBUTING.md. PRs are welcome!

git clone https://github.com/AnujaGajaweera/MindPy.git
cd MindPy
pip install -e ".[dev]"
pre-commit install
pytest

---

License

MIT — see LICENSE.

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MindPy is inspired by Mineflayer but is a ground-up Python reimplementation with a native asyncio protocol layer, numpy world storage, and first-class AI/LLM integration.