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"""MCP tool-based Red Alert bot that plays entirely through MCP tools.
Validates the full MCP integration path: tool discovery, game knowledge
lookups, read tools for state, and action tools for commands. Uses
OpenRAMCPClient to interact with the OpenRA-RL server via WebSocket.
Exercises ALL 30 MCP tools:
- Read tools: get_game_state, get_economy, get_units, get_buildings,
get_enemies, get_production, get_map_info
- Knowledge tools: lookup_unit, lookup_building, lookup_tech_tree, lookup_faction,
get_faction_briefing, get_map_analysis, batch_lookup
- Action tools: advance, deploy_unit, build_structure, place_building,
build_unit, move_units, attack_move, attack_target, stop_units,
set_rally_point, guard_target, set_stance, sell_building, repair_building,
harvest, power_down, set_primary
- Replay tool: get_replay_path
Usage:
docker run -p 8000:8000 openra-rl
python examples/mcp_bot.py --verbose
"""
import argparse
import asyncio
import json
import sys
from typing import Any, Optional
# Line-buffered stdout so output is observable in real time
sys.stdout.reconfigure(line_buffering=True)
from openra_env.mcp_ws_client import OpenRAMCPClient
class MCPBot:
"""State-machine bot that plays Red Alert using MCP tool calls.
Phases:
startup - Look up tech tree and faction info
deploy_mcv - Find and deploy MCV
build_base - Build power/barracks/refinery/war factory
train_army - Train infantry + vehicles, set rally points
attack - Attack-move toward enemy
sustain - Repair, sell damaged, power management
"""
BARRACKS_TYPES = {"tent", "barr"}
WAR_FACTORY_TYPES = {"weap"}
BUILD_ORDER = ["powr", "barracks", "proc", "weap", "powr"]
INFANTRY_TARGET = 6
GUARD_COUNT = 2
COMBAT_TYPES = {"e1", "e2", "e3", "e4", "1tnk", "2tnk", "3tnk", "arty", "jeep", "apc"}
INFANTRY_TYPES = {"e1", "e2", "e3", "e4"}
def __init__(self, env: OpenRAMCPClient, verbose: bool = False, no_planning: bool = False):
self.env = env
self.verbose = verbose
self.no_planning = no_planning
self.phase = "startup"
self.build_index = 0
self.placement_count = 0
self.deploy_issued = False
self._guards_assigned: set[int] = set()
self._stances_set: set[int] = set()
self._rally_set: set[int] = set()
self._repair_issued: set[int] = set()
self._sold: set[int] = set()
self._powered_down: set[int] = set()
self._primary_set: set[int] = set()
self._apc_trained = False
self._tools_exercised: set[str] = set()
async def call(self, tool_name: str, **kwargs: Any) -> Any:
"""Call an MCP tool and track which tools have been exercised."""
self._tools_exercised.add(tool_name)
result = await self.env.call_tool(tool_name, **kwargs)
return result
def _log(self, msg: str):
if self.verbose:
print(f" [MCPBot] {msg}")
# โโ Main loop โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def run(self, max_turns: int) -> dict:
"""Run the bot for up to max_turns."""
# Phase: startup โ exercise knowledge tools
await self._startup()
turn = 0
while turn < max_turns:
state = await self.call("get_game_state")
if state.get("done"):
self._log(f"Game over: {state.get('result', '?')}")
break
turn += 1
await self._tick(state, turn)
if turn % 100 == 0:
self._print_status(turn, state)
# End-of-game report
final_state = await self.call("get_game_state")
replay = await self.call("get_replay_path")
self._log(f"Replay: {replay}")
return {
"turns": turn,
"final_state": final_state,
"replay": replay,
"tools_exercised": sorted(self._tools_exercised),
"tools_count": len(self._tools_exercised),
"planning_strategy": getattr(self, "_planning_strategy", ""),
}
# โโ Startup: knowledge tools โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def _startup(self):
"""Run planning phase and look up game knowledge at game start."""
if self.no_planning:
self._log("=== Startup: Planning DISABLED ===")
# Use bulk knowledge tool instead of individual lookups
briefing = await self.call("get_faction_briefing")
self._log(f"Faction briefing: {briefing.get('side', '?')}, "
f"{len(briefing.get('units', {}))} units, "
f"{len(briefing.get('buildings', {}))} buildings")
else:
self._log("=== Startup: Planning Phase ===")
# Try the planning phase
planning = await self.call("start_planning_phase")
if planning.get("planning_active"):
self._log(f"Planning active โ opponent: {planning.get('opponent_summary', '')[:120]}")
# Use bulk tools for efficient research
briefing = await self.call("get_faction_briefing")
self._log(f"Faction briefing: {briefing.get('side', '?')}, "
f"{len(briefing.get('units', {}))} units, "
f"{len(briefing.get('buildings', {}))} buildings")
map_analysis = await self.call("get_map_analysis")
self._log(f"Map analysis: {map_analysis.get('map_type', '?')}, "
f"{len(map_analysis.get('resource_patches', []))} resource patches")
intel = await self.call("get_opponent_intel")
aggressiveness = intel.get("aggressiveness", "unknown")
self._log(f"Opponent aggressiveness: {aggressiveness}")
# Formulate strategy based on opponent profile
if aggressiveness in ("high", "very_high"):
strategy = (
"Defensive opening: power plant, barracks, turrets at base entrance, "
"then ore refinery for economy. Build war factory for tanks once stable. "
"Scout early to find and deny enemy expansion."
)
else:
strategy = (
"Rush opening: power plant, barracks, infantry rush while building "
"ore refinery. Transition to tanks from war factory."
)
result = await self.call("end_planning_phase", strategy=strategy)
self._planning_strategy = strategy
self._log(f"Planning complete: {result.get('planning_duration_seconds', '?')}s, strategy: {strategy[:80]}")
else:
# Planning disabled server-side
self._log(f"Planning: {planning.get('message', 'disabled')}")
briefing = await self.call("get_faction_briefing")
self._log(f"Faction briefing: {briefing.get('side', '?')}, "
f"{len(briefing.get('units', {}))} units, "
f"{len(briefing.get('buildings', {}))} buildings")
map_info = await self.call("get_map_info")
self._log(f"Map: {map_info.get('map_name', '?')} ({map_info.get('width')}x{map_info.get('height')})")
self.phase = "deploy_mcv"
self._log("Phase โ deploy_mcv")
# โโ Per-tick decision โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def _tick(self, state: dict, turn: int):
"""Make decisions for one game tick."""
# Update phase based on state
await self._update_phase()
if self.phase == "deploy_mcv":
await self._do_deploy()
elif self.phase == "build_base":
await self._do_build()
elif self.phase == "train_army":
await self._do_build()
await self._do_train()
elif self.phase == "attack":
await self._do_build()
await self._do_train()
await self._do_combat()
await self._do_sustain()
# Advance game
await self.call("advance", ticks=1)
async def _update_phase(self):
"""Transition phases based on game state."""
buildings = await self.call("get_buildings")
units = await self.call("get_units")
has_cy = any(b["type"] == "fact" for b in buildings)
has_barracks = any(b["type"] in self.BARRACKS_TYPES for b in buildings)
combat_units = [u for u in units if u["type"] in self.COMBAT_TYPES]
non_guard = [u for u in combat_units if u["actor_id"] not in self._guards_assigned]
if self.phase == "deploy_mcv" and has_cy:
self.phase = "build_base"
self._log("Phase โ build_base")
elif self.phase == "build_base" and self.build_index >= len(self.BUILD_ORDER):
self.phase = "train_army"
self._log("Phase โ train_army")
elif self.phase == "train_army" and len(non_guard) >= self.INFANTRY_TARGET:
self.phase = "attack"
self._log(f"Phase โ attack ({len(non_guard)} combat units)")
# โโ Deploy MCV โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def _do_deploy(self):
"""Find and deploy MCV."""
if self.deploy_issued:
return
units = await self.call("get_units")
mcv = next((u for u in units if u["type"] == "mcv"), None)
if mcv:
self._log(f"Deploying MCV (actor {mcv['actor_id']})")
await self.call("deploy_unit", unit_id=mcv["actor_id"])
self.deploy_issued = True
# โโ Build base โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def _do_build(self):
"""Handle building construction and placement."""
# Check for completed buildings to place
production = await self.call("get_production")
buildings = await self.call("get_buildings")
for p in production.get("queue", []):
if p["queue_type"] == "Building" and p["progress"] >= 0.99:
cy = next((b for b in buildings if b["type"] == "fact"), None)
if cy:
x, y = self._placement_offset(cy)
self._log(f"Placing {p['item']} at ({x}, {y})")
await self.call("place_building", building_type=p["item"], cell_x=x, cell_y=y)
self.placement_count += 1
# Start new building if nothing in queue
if self.build_index >= len(self.BUILD_ORDER):
return
building_in_queue = any(p["queue_type"] == "Building" for p in production.get("queue", []))
if building_in_queue:
return
item = self.BUILD_ORDER[self.build_index]
# Resolve faction-agnostic barracks
if item == "barracks":
available = production.get("available", [])
if "tent" in available:
item = "tent"
elif "barr" in available:
item = "barr"
else:
return
# Check if already built
already = sum(1 for b in buildings if b["type"] == item)
if already > 0 and self.build_index < len(self.BUILD_ORDER) - 1:
# Skip if not a duplicate in build order
count_in_order = sum(1 for x in self.BUILD_ORDER[:self.build_index + 1]
if x == item or (x == "barracks" and item in self.BARRACKS_TYPES))
if already >= count_in_order:
self.build_index += 1
return
available = production.get("available", [])
if item in available:
economy = await self.call("get_economy")
building_stats = await self.call("lookup_building", building_type=item)
cost = building_stats.get("cost", 0)
if economy.get("cash", 0) >= cost:
self._log(f"Building {item} (#{self.build_index + 1}/{len(self.BUILD_ORDER)}, cost=${cost})")
await self.call("build_structure", building_type=item)
self.build_index += 1
# Set rally points on production buildings
await self._do_rally_points(buildings)
async def _do_rally_points(self, buildings: list[dict]):
"""Set rally points on barracks and war factories."""
cy = next((b for b in buildings if b["type"] == "fact"), None)
if not cy:
return
for b in buildings:
if b["type"] in ("tent", "barr", "weap") and b["actor_id"] not in self._rally_set:
rally_x = cy["cell_x"] if cy["cell_x"] > 0 else cy.get("pos_x", 0) // 1024
rally_y = cy["cell_y"] if cy["cell_y"] > 0 else cy.get("pos_y", 0) // 1024
self._log(f"Setting rally on {b['type']} (actor {b['actor_id']}) โ ({rally_x}, {rally_y})")
await self.call("set_rally_point", building_id=b["actor_id"], cell_x=rally_x, cell_y=rally_y)
self._rally_set.add(b["actor_id"])
def _placement_offset(self, cy: dict) -> tuple[int, int]:
"""Calculate placement position relative to CY."""
cx = cy.get("pos_x", 0) // 1024 if cy.get("cell_x", 0) == 0 else cy["cell_x"]
cy_y = cy.get("pos_y", 0) // 1024 if cy.get("cell_y", 0) == 0 else cy["cell_y"]
offsets = [
(3, 0), (-3, 0), (0, 3), (0, -3),
(3, 3), (-3, 3), (3, -3), (-3, -3),
(6, 0), (-6, 0), (0, 6), (0, -6),
]
idx = self.placement_count % len(offsets)
dx, dy = offsets[idx]
return cx + dx, cy_y + dy
# โโ Train army โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def _do_train(self):
"""Train infantry and vehicles."""
production = await self.call("get_production")
buildings = await self.call("get_buildings")
units = await self.call("get_units")
economy = await self.call("get_economy")
has_barracks = any(b["type"] in self.BARRACKS_TYPES for b in buildings)
infantry_training = any(
p["queue_type"] == "Infantry" and p["progress"] < 0.99
for p in production.get("queue", [])
)
infantry = [u for u in units if u["type"] in self.INFANTRY_TYPES]
total_target = self.INFANTRY_TARGET + self.GUARD_COUNT
# Train infantry
if has_barracks and not infantry_training and len(infantry) < total_target:
available = production.get("available", [])
if "e1" in available and economy.get("cash", 0) >= 100:
self._log(f"Training e1 ({len(infantry)}/{total_target})")
await self.call("build_unit", unit_type="e1")
# Train APC from war factory
has_weap = any(b["type"] == "weap" for b in buildings)
vehicle_training = any(
p["queue_type"] == "Vehicle" and p["progress"] < 0.99
for p in production.get("queue", [])
)
if has_weap and not vehicle_training and not self._apc_trained:
available = production.get("available", [])
if "apc" in available and economy.get("cash", 0) >= 800:
self._log("Training APC")
await self.call("build_unit", unit_type="apc")
self._apc_trained = True
# Continuous vehicle production in attack phase
if self.phase == "attack" and has_weap and not vehicle_training:
available = production.get("available", [])
if "1tnk" in available and economy.get("cash", 0) >= 700:
self._log("Training 1tnk (continuous)")
await self.call("build_unit", unit_type="1tnk")
# Set stances on new units
for u in units:
if u["actor_id"] in self._stances_set:
continue
if u["type"] not in self.COMBAT_TYPES:
continue
stance = "defend" if u["actor_id"] in self._guards_assigned else "attack_anything"
await self.call("set_stance", unit_ids=str(u["actor_id"]), stance=stance)
self._stances_set.add(u["actor_id"])
# Assign guards to CY
if len(self._guards_assigned) < self.GUARD_COUNT:
cy = next((b for b in buildings if b["type"] == "fact"), None)
if cy:
for u in units:
if len(self._guards_assigned) >= self.GUARD_COUNT:
break
if (u["type"] in self.INFANTRY_TYPES
and u["is_idle"]
and u["actor_id"] not in self._guards_assigned):
self._log(f"Assigning {u['type']} (actor {u['actor_id']}) to guard CY")
await self.call("guard_target", unit_ids=str(u["actor_id"]), target_actor_id=cy["actor_id"])
self._guards_assigned.add(u["actor_id"])
# Set primary on multiple production buildings
for btype_set in [self.BARRACKS_TYPES, self.WAR_FACTORY_TYPES]:
bldgs_of_type = [b for b in buildings if b["type"] in btype_set]
if len(bldgs_of_type) >= 2:
newest = max(bldgs_of_type, key=lambda b: b["actor_id"])
if newest["actor_id"] not in self._primary_set:
self._log(f"Setting primary: {newest['type']} (actor {newest['actor_id']})")
await self.call("set_primary", building_id=newest["actor_id"])
self._primary_set.add(newest["actor_id"])
# โโ Combat โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def _do_combat(self):
"""Attack-move idle combat units toward enemies."""
units = await self.call("get_units")
enemies = await self.call("get_enemies")
idle_fighters = [
u for u in units
if (u["type"] in self.COMBAT_TYPES
and u["is_idle"]
and u["actor_id"] not in self._guards_assigned)
]
if len(idle_fighters) < 2:
return
# Find attack target
target_x, target_y = self._find_attack_target(enemies, units)
unit_id_list = [u["actor_id"] for u in idle_fighters]
unit_ids = ",".join(str(i) for i in unit_id_list)
self._log(f"Attacking with {len(unit_id_list)} units toward ({target_x}, {target_y})")
await self.call("attack_move", unit_ids=unit_ids, target_x=target_x, target_y=target_y)
# Attack specific visible enemy if close
if enemies.get("units"):
enemy = enemies["units"][0]
nearby = [u for u in idle_fighters[:3] if u["can_attack"]]
if nearby:
nearby_ids = ",".join(str(u["actor_id"]) for u in nearby)
await self.call(
"attack_target",
unit_ids=nearby_ids,
target_actor_id=enemy["actor_id"],
)
def _find_attack_target(self, enemies: dict, units: list[dict]) -> tuple[int, int]:
"""Find best attack target: enemy buildings > units > map center."""
if enemies.get("buildings"):
b = enemies["buildings"][0]
return b["cell_x"], b["cell_y"]
if enemies.get("units"):
u = enemies["units"][0]
return u["cell_x"], u["cell_y"]
return 64, 64 # fallback: map center
# โโ Sustain โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def _do_sustain(self):
"""Repair, sell, and manage power."""
buildings = await self.call("get_buildings")
economy = await self.call("get_economy")
for b in buildings:
# Repair damaged buildings
if (b["hp_percent"] < 0.7
and not b.get("is_repairing", False)
and b["actor_id"] not in self._repair_issued
and economy.get("cash", 0) >= 500):
self._log(f"Repairing {b['type']} (actor {b['actor_id']}, hp={b['hp_percent']:.0%})")
await self.call("repair_building", building_id=b["actor_id"])
self._repair_issued.add(b["actor_id"])
# Sell heavily damaged buildings
if (b["hp_percent"] < 0.2
and b["type"] != "fact"
and b["actor_id"] not in self._sold):
self._log(f"Selling {b['type']} (actor {b['actor_id']}, hp={b['hp_percent']:.0%})")
await self.call("sell_building", building_id=b["actor_id"])
self._sold.add(b["actor_id"])
# Power management
power_balance = economy.get("power_provided", 0) - economy.get("power_drained", 0)
if power_balance < 0:
power_down_priority = ["dome", "spen", "syrd", "hpad", "afld", "fix"]
for btype in power_down_priority:
for b in buildings:
if (b["type"] == btype
and b.get("is_powered", True)
and b["actor_id"] not in self._powered_down):
self._log(f"Powering down {b['type']} (actor {b['actor_id']}) โ power: {power_balance}")
await self.call("power_down", building_id=b["actor_id"])
self._powered_down.add(b["actor_id"])
return # one at a time
# Send idle harvesters to harvest
units = await self.call("get_units")
for u in units:
if u["type"] == "harv" and u["is_idle"]:
self._log(f"Sending harvester {u['actor_id']} to harvest")
await self.call("harvest", unit_id=u["actor_id"])
break # one at a time
# Stop fleeing units
fleeing = [u for u in units if u["type"] in self.COMBAT_TYPES
and u.get("current_activity") == "Flee"]
if fleeing:
await self.call("stop_units", unit_ids=",".join(str(u["actor_id"]) for u in fleeing[:3]))
# Move scouts
idle_scouts = [u for u in units
if u["type"] in ("jeep", "e1") and u["is_idle"]
and u["actor_id"] not in self._guards_assigned]
if idle_scouts and len(idle_scouts) > 3:
scout = idle_scouts[0]
await self.call("move_units", unit_ids=str(scout["actor_id"]), target_x=64, target_y=64)
# โโ Status display โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
def _print_status(self, turn: int, state: dict):
eco = state.get("economy", {})
power = eco.get("power_provided", 0) - eco.get("power_drained", 0)
print(
f"Turn {turn:4d} | Tick {state.get('tick', 0):5d} | "
f"${eco.get('cash', 0):5d} | Pwr:{power:+d} | "
f"Units:{state.get('own_units', 0)} | "
f"Enemy:{state.get('visible_enemies', 0)} | "
f"Bldgs:{state.get('own_buildings', 0)} | {self.phase}"
)
# โโ Main โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
async def run_mcp_bot(url: str, max_turns: int, verbose: bool, no_planning: bool = False):
"""Connect to the OpenRA-RL server and play using MCP tools."""
print(f"Connecting to {url}...")
async with OpenRAMCPClient(base_url=url, message_timeout_s=300.0) as env:
print("Resetting environment (launching OpenRA)...")
await env.reset()
# Discover available tools
tools = await env.list_tools()
tool_names = sorted(t.name for t in tools)
print(f"Discovered {len(tools)} MCP tools: {tool_names}")
# Run bot
bot = MCPBot(env, verbose=verbose, no_planning=no_planning)
result = bot.run(max_turns)
if asyncio.iscoroutine(result):
result = await result
# Final report
print()
print("=" * 70)
final = result["final_state"]
print(f"Game finished after {result['turns']} turns")
if final.get("done"):
print(f"Result: {final.get('result', '?').upper()}")
# Score card
mil = final.get("military", {})
eco = final.get("economy", {})
planning = result.get("planning_strategy", "")
print()
print("--- SCORECARD ---")
print(f" Planning: {'ON โ ' + planning if planning else 'OFF'}")
print(f" Ticks played: {final.get('tick', '?')}")
print(f" Units killed: {mil.get('units_killed', 0)} (value: ${mil.get('kills_cost', 0)})")
print(f" Units lost: {mil.get('units_lost', 0)} (value: ${mil.get('deaths_cost', 0)})")
print(f" Buildings killed: {mil.get('buildings_killed', 0)}")
print(f" Buildings lost: {mil.get('buildings_lost', 0)}")
print(f" Army value: ${mil.get('army_value', 0)}")
print(f" Assets value: ${mil.get('assets_value', 0)}")
print(f" Experience: {mil.get('experience', 0)}")
print(f" Orders issued: {mil.get('order_count', 0)}")
print(f" Cash remaining: ${eco.get('cash', 0)}")
print(f" K/D cost ratio: {mil.get('kills_cost', 0) / max(mil.get('deaths_cost', 1), 1):.2f}")
print()
print(f"Tools exercised: {result['tools_count']}/{len(tools)}")
print(f" {result['tools_exercised']}")
if result.get("replay", {}).get("path"):
print(f"Replay: {result['replay']['path']}")
print("=" * 70)
def main():
parser = argparse.ArgumentParser(description="MCP tool-based Red Alert bot")
parser.add_argument(
"--url",
default="http://localhost:8000",
help="OpenRA-RL server URL (default: http://localhost:8000)",
)
parser.add_argument(
"--max-turns",
type=int,
default=3000,
help="Maximum turns before stopping (default: 3000)",
)
parser.add_argument(
"--verbose",
action="store_true",
help="Print detailed bot decisions",
)
parser.add_argument(
"--no-planning",
action="store_true",
help="Disable planning phase (for comparison runs)",
)
args = parser.parse_args()
try:
asyncio.run(run_mcp_bot(args.url, args.max_turns, args.verbose, no_planning=args.no_planning))
except KeyboardInterrupt:
print("\nInterrupted by user")
sys.exit(0)
except ConnectionRefusedError:
print(f"\nCould not connect to {args.url}")
print("Is the OpenRA-RL server running?")
print(" docker run -p 8000:8000 openra-rl")
sys.exit(1)
if __name__ == "__main__":
main()
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