Physics MCP Server

Predicts whether two moving spheres will collide within a time window, and if so, calculates when and where the collision occurs. Uses analytic relative motion to find exact collision time (if any). Args: body1_position: Position of first object [x, y, z] in meters body1_velocity: Velocity of first object [x, y, z] in m/s body1_radius: Radius of first object in meters (must be positive) body2_position: Position of second object [x, y, z] in meters body2_velocity: Velocity of second object [x, y, z] in m/s body2_radius: Radius of second object in meters (must be positive) max_time: Maximum time to check in seconds. Default 10.0. Returns: CollisionCheckResponse containing: - will_collide: True if collision will occur - collision_time: Time until collision in seconds (if collision occurs) - collision_point: Approximate collision location [x, y, z] (if collision occurs) - impact_speed: Relative velocity at impact in m/s (if collision occurs) - closest_approach_distance: Minimum distance between objects - closest_approach_time: Time of closest approach Tips for LLMs: - Objects are modeled as spheres (point masses with radius) - Collision detection is exact for constant velocity motion - Returns earliest collision time if multiple intersections - If no collision, check closest_approach_distance to see how close they get - Use for: asteroid tracking, car crash prediction, sports ball interactions - For complex shapes or forces, use create_simulation instead Example: # Check if two cars will collide result = await check_collision( body1_position=[0.0, 0.0, 0.0], body1_velocity=[10.0, 0.0, 0.0], body1_radius=2.0, body2_position=[50.0, 1.0, 0.0], body2_velocity=[-8.0, 0.0, 0.0], body2_radius=2.0 ) if result.will_collide: print(f"Collision in {result.collision_time:.2f} seconds at {result.impact_speed:.1f} m/s")