With　the　increase　in　wind　generation　installed　capacity,　the　uncertainty　of　wind　power　has　brought　great　challenges　to　wind　power　accommodation.　The　accurate　assessment　result　of　wind　power　accommodation　capability　(WPAC)　has　important　guiding　significance　to　the　formulation　of　the　day-ahead　wind　power　trading　plan　for　the　multi-energy　microgrid　(MEMG).　This　paper　proposes　a　WPAC　assessment　method　for　the　MEMG.　A　liner　energy　flow　model　is　first　derived　based　on　the　equivalent　infinitesimal　replacement　and　the　mild　assumption　that　supply　temperatures　of　different　heat　load　nodes　are　nearly　the　same.　Then,　the　operational　risk　model　easily　embedded　into　the　assessment　model　is　established　based　on　the　probability　distributions　of　prediction　error　corresponding　to　multiple　wind　power　output　ranges.　Finally,　the　WPAC　assessment　model　is　constructed　as　a　two-stage　robust　optimization　problem　and　solved　by　the　column-and-constraint　generation　(C&CG)　algorithm.　Simulations　on　a　MEMG　composed　of　the　IEEE　33-bus　power　system　and　the　23-node　district　heating　network　(DHN)　verify　the　effectiveness　of　the　proposed　method.