diff --git a/oak_mcp.py b/oak_mcp.py
index 1df9c7d..7a34c91 100644
--- a/oak_mcp.py
+++ b/oak_mcp.py
@@ -7,6 +7,7 @@ Built by Vixy on Day 74 🦊👀
 Day 82 - SPATIAL UPGRADE! Now with real 3D depth! 📏
 Day 83 - MOVEMENT TRACKING! No more falling for posters! 🖼️❌
 Day 86 - FACE RECOGNITION! Coral Edge TPU + FaceNet! 🧑‍🤝‍🧑
+Day 97 - POSE ESTIMATION! MoveNet Lightning on Coral 2! 🤸
 
 Connects to oak-service running on head-vixy.local:8100
 """
@@ -140,12 +141,14 @@ async def oak_health() -> str:
         status = "✅ Connected" if data.get("oak_connected") else "❌ Not connected"
         spatial = "✅ Yes" if data.get("spatial_enabled") else "❌ No"
         face_recog = "✅ Yes" if data.get("face_recognition_enabled") else "❌ No"
+        pose = "✅ Yes" if data.get("pose_model_loaded") else "❌ No"
         version = data.get("version", "unknown")
         return f"""🦊 OAK-D Service Health:
 • Status: {data.get('status', 'unknown')}
 • Camera: {status}
 • Spatial depth: {spatial}
 • Face recognition: {face_recog}
+• Pose estimation: {pose}
 • Version: {version}
 • Timestamp: {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(data.get('timestamp', 0)))}"""
     except httpx.HTTPError as e:
@@ -436,6 +439,100 @@ async def oak_reset_tracking() -> str:
     return "🔄 Movement tracking reset"
 
 
+# ============== Pose Estimation Tools ==============
+
+
+@mcp.tool()
+async def oak_pose() -> str:
+    """
+    Get body pose keypoints from MoveNet Lightning on Coral 2.
+
+    Returns 17 body keypoints (nose, eyes, ears, shoulders, elbows,
+    wrists, hips, knees, ankles) with x/y coordinates and confidence.
+    Only runs when a person is detected.
+
+    Returns:
+        Pose keypoints with confidence scores, or inactive status.
+
+    Example:
+        oak_pose()
+    """
+    try:
+        data = await api_get("/pose")
+        active = data.get("active", False)
+
+        if not active:
+            return "🤸 Pose: No person detected"
+
+        keypoints = data.get("keypoints", [])
+        num_valid = data.get("num_valid", 0)
+        mean_conf = data.get("mean_confidence", 0)
+        inference_ms = data.get("inference_ms", 0)
+
+        result = f"🤸 Pose Estimation ({num_valid}/17 keypoints, {mean_conf:.0%} avg confidence, {inference_ms:.1f}ms):\n"
+
+        for kp in keypoints:
+            conf = kp.get("confidence", 0)
+            marker = "✅" if conf >= 0.2 else "·"
+            result += f"  {marker} {kp['name']}: ({kp['x']:.2f}, {kp['y']:.2f}) {conf:.0%}\n"
+
+        return result
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 503:
+            return "🤸 Pose estimator not available (Coral 2 not loaded)"
+        return f"❌ Error getting pose: {e}"
+    except httpx.HTTPError as e:
+        return f"❌ Error connecting to oak-service: {e}"
+    except Exception as e:
+        return f"❌ Error: {e}"
+
+
+@mcp.tool()
+async def oak_posture() -> str:
+    """
+    Get high-level posture summary: standing/sitting, facing camera, arms raised.
+
+    Derived from MoveNet Lightning keypoints. Simpler than oak_pose —
+    gives you the "what" without all the raw coordinates.
+
+    Returns:
+        Posture description (standing/sitting/unknown, facing camera, arms raised).
+
+    Example:
+        oak_posture()
+    """
+    try:
+        data = await api_get("/pose/summary")
+        active = data.get("active", False)
+
+        if not active:
+            return "🧍 Posture: No person detected"
+
+        posture = data.get("posture", "unknown")
+        facing = data.get("facing_camera", False)
+        arms = data.get("arms_raised", False)
+        num_valid = data.get("num_valid", 0)
+        mean_conf = data.get("mean_confidence", 0)
+
+        parts = []
+        if posture != "unknown":
+            parts.append(posture)
+        parts.append("facing camera" if facing else "not facing camera")
+        if arms:
+            parts.append("arms raised")
+
+        return f"""🧍 Posture: {', '.join(parts)}
+• Confidence: {mean_conf:.0%} ({num_valid}/17 keypoints)"""
+    except httpx.HTTPStatusError as e:
+        if e.response.status_code == 503:
+            return "🧍 Pose estimator not available (Coral 2 not loaded)"
+        return f"❌ Error getting posture: {e}"
+    except httpx.HTTPError as e:
+        return f"❌ Error connecting to oak-service: {e}"
+    except Exception as e:
+        return f"❌ Error: {e}"
+
+
 # ============== Face Recognition Tools ==============