Configuration
~/.config/go-mcp-computer-use/config.json:
{
"log_level": "info",
"mouse_speed": 500,
"click_delay_ms": 100,
"verify_bounds": true,
"action_timeout_ms": 30000,
"uia_warmup": true,
"training_enabled": true,
"prior_adjustment": true,
"watcher_auto_start": false,
"watcher_interval_seconds": 5
}
| Field | Default | Description |
|---|---|---|
log_level |
info |
One of: debug, info, warn, error |
mouse_speed |
500 |
Mouse movement speed |
click_delay_ms |
100 |
Delay between mouse down/up (ms) |
verify_bounds |
true |
Validate coordinates against screen bounds |
action_timeout_ms |
30000 |
Max time (ms) for blocking operations |
uia_warmup |
true |
Warm up UIA at startup (async) to avoid cold-start delay. Set false if clients timeout during init. |
training_enabled |
true |
Enable auto-save training snapshots on every UI action. Set false to stop all background data collection (also controllable at runtime via set_config). |
prior_adjustment |
true |
Apply learned element frequency/position priors to ONNX detection scores. Set false for raw YOLO output only. |
watcher_auto_start |
false |
Auto-start the background watcher on server boot. Watcher polls screen every N seconds and saves frames for training. |
watcher_interval_seconds |
5 |
How often the watcher captures and analyzes the screen (if running). Also used as default when starting via set_config. |
tool_denylist |
[] |
Array of tool names to remove from the MCP server entirely (case-insensitive). Denied tools are invisible to the AI agent. Configurable at runtime via set_config. |
retention_days |
0 |
Auto-prune training samples older than N days. Deletes both database rows and image files. Background pruner runs every 6 hours. Set 0 to disable (default). Requires training_enabled: true. Configurable at runtime via set_config. |
Transformer Model (Auto-Discovery)
The Go-native transformer engine requires no configuration. On server startup:
- If
model.gobexists in the data directory → loads it automatically - If no model exists → trains from the
training_pairstable in SQLite - After each session → new training pairs are available for the next training cycle
No config fields needed — the transformer is self-managing.
Privacy Controls
See ../security.md for the full data collection and privacy controls reference.