meshy-dev/meshy-dcc-adapters/unreal-pie

# 1. Enter PIE
# MCP tool call: unreal_pie__control
# params: {"action": "enter"}
# 2. Inject a few controlled inputs
# MCP tool call: unreal_pie__inject_input
# params: {"input_type": "key_press", "key": "W"}
# 3. Capture screenshot
# MCP tool call: unreal_pie__capture_screenshot
# params: {"filepath": "C:/playtest/frame_001.png"}
# 4. Check status + perf
# MCP tool call: unreal_pie__get_status
# params: {}
# 5. Snapshot logs
# MCP tool call: unreal_pie__snapshot_log
# params: {
#   "filter": "LogCombat", "message_contains": "Damage",
#   "since_timestamp": "2026-08-29T10:00:00Z",
#   "max_lines": 200, "dedupe": true
# }
# `filter` matches category only (never asset paths or message bodies).
# Use the returned `next_cursor` as `cursor` on the next snapshot.
# When `dedupe` is true, `occurrence_counts` (also exposed as
# `occurrence_count`) aligns with the returned entries.
# `cursor_supported` is false for tail-only unreal.log snapshots; in that case
# `next_cursor` is null and must not be used for continuation.
# 6. Exit PIE
# MCP tool call: unreal_pie__control
# params: {"action": "exit"}

# 1. Queue a test
# MCP tool call: unreal_pie__run_test
# params: {"filter": "MeshyDcc.Smoke"}
# Returns: {"job_id": "pie_test_20260725_120000_abc123"}
# 2. Poll until complete
# MCP tool call: unreal_pie__poll_test
# params: {"job_id": "pie_test_20260725_120000_abc123"}
# Returns status: "running" | "completed" | "failed" | "cancelled"
# 3. Cancel if needed
# MCP tool call: unreal_pie__cancel_job
# params: {"job_id": "pie_test_20260725_120000_abc123"}