Mcp app 2

inspect.sh

@@ -0,0 +1 @@
+npx @modelcontextprotocol/inspector python3 "$(pwd)/tmll/mcp/server.py" "$(pwd)/tmll/mcp/cli.py"

readme.md

@@ -142,6 +142,7 @@ TMLL provides an MCP (Model Context Protocol) server that exposes trace analysis
 - `analyze_correlation`: Perform root cause correlation analysis
 - `detect_idle_resources`: Identify underutilized resources
 - `plan_capacity`: Run capacity planning predictions
+- `plot_xy_with_anomalies`: Return an interactive XY anomaly plot (MCP App iframe UI)
 
 ## CLI Usage
 
@@ -176,9 +177,6 @@ tmll_cli.py detect-idle --experiment <UUID> --threshold 5
 
 # Run capacity planning
 tmll_cli.py plan-capacity --experiment <UUID> --horizon 30
-
-# Perform clustering
-tmll_cli.py cluster --experiment <UUID> --method kmeans --n-clusters 3
 ```
 
 ### Options

tmll/common/services/logger.py

@@ -13,7 +13,7 @@
 
 class Logger:
     logger.remove()
-    logger.add(sys.stdout, colorize=True, format="{message}")
+    logger.add(sys.stderr, colorize=True, format="{message}")
 
     def __init__(self, name: str, verbose: bool = True) -> None:
         self.name = name

tmll/mcp/cli.py

@@ -101,7 +101,12 @@ def detect_anomalies(args):
         print("No outputs found matching criteria")
         return
 
-    ad = AnomalyDetection(client, experiment, outputs, resample_freq=args.resample_freq, min_size=args.min_size)
+    ad_kwargs = {}
+    if args.resample_freq:
+        ad_kwargs["resample_freq"] = args.resample_freq
+    if args.min_size is not None:
+        ad_kwargs["min_size"] = args.min_size
+    ad = AnomalyDetection(client, experiment, outputs, **ad_kwargs)
     result = ad.find_anomalies(method=args.method)
 
     if args.plot:
@@ -297,8 +302,8 @@ def main():
     anomaly_parser.add_argument("-k", "--keywords", nargs="+", default=["cpu usage"], help="Output keywords")
     anomaly_parser.add_argument("-m", "--method", default="iforest", help="Detection method")
     anomaly_parser.add_argument("-p", "--plot", action="store_true", help="Plot anomalies")
-    anomaly_parser.add_argument("-H", "--resample-freq", default="1s", help="Resampling frequency")
-    anomaly_parser.add_argument("-s", "--min-size", type=int, default=10, help="Minimum data points")
+    anomaly_parser.add_argument("-H", "--resample-freq", help="Resampling frequency")
+    anomaly_parser.add_argument("-s", "--min-size", type=int, help="Minimum data points")
     anomaly_parser.set_defaults(func=detect_anomalies)
 
     # memory-leak command