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import cv2
img = cv2.imread('foo.jpg', cv2.CV_LOAD_IMAGE_GRAYSCALE);
mser = cv2.MSER()
mser_areas = mser.detect()

this returns list of list of points as described in the docu for the operator()http://docs.opencv.org/modules/features2d/doc/feature_detection_and_description.html?highlight=mser#mser.

You can also retrieve real keypoints (with associated size etc.) when you use it as feature detector:

fd = cv2.FeatureDetector_create('MSER')
kpts = fd.detect(img)

which you then can pass to a descriptor, which you can e.g. create via cv2.DescriptorExtractor_create("ORB").