diff --git a/vllm/v1/attention/backends/mla/common.py b/vllm/v1/attention/backends/mla/common.py
index 2ee2740a51ba..27a1f3bc05b2 100755
--- a/vllm/v1/attention/backends/mla/common.py
+++ b/vllm/v1/attention/backends/mla/common.py
@@ -1796,7 +1796,6 @@ def _context_parallel_compute_prefill_context(
         k_scale: torch.Tensor,
         dcp_world_size: int,
     ):
-        assert k_scale is None, "DCP not support scaled kvcache now."
         assert attn_metadata.prefill is not None
         prefill_metadata = attn_metadata.prefill
         assert prefill_metadata.chunked_context is not None
@@ -1812,14 +1811,19 @@ def _context_parallel_compute_prefill_context(
 
         for i in range(iters):
             toks = prefill_metadata.chunked_context.seq_tot[i]
-            ops.cp_gather_cache(
+            # gather_and_maybe_dequant_cache handles both FP8 (dequant) and
+            # non-FP8 (just copy) based on kv_cache_dtype
+            ops.gather_and_maybe_dequant_cache(
                 src_cache=kv_c_and_k_pe_cache,
                 dst=workspace,
                 block_table=prefill_metadata.block_table,
                 cu_seq_lens=prefill_metadata.chunked_context.padded_local_cu_seq_lens[
                     i
                 ],
-                batch_size=attn_metadata.num_prefills,
+                token_to_seq=prefill_metadata.chunked_context.token_to_seq[i],
+                num_tokens=prefill_metadata.chunked_context.chunk_total_token[i],
+                kv_cache_dtype=self.kv_cache_dtype,
+                scale=k_scale,
                 seq_starts=prefill_metadata.chunked_context.starts[i],
             )
             # workspace
@@ -1930,7 +1934,7 @@ def _forward_prefill(
                         q,
                         kv_c_and_k_pe_cache,
                         attn_metadata,
-                        k_scale=None,
+                        k_scale=k_scale,
                         dcp_world_size=self.dcp_world_size,
                     )
                 )
@@ -2131,9 +2135,9 @@ def forward(
             else:
                 decode_q = (decode_ql_nope, decode_q_pe)
             if self.dcp_world_size > 1:
-                assert not fp8_attention, "DCP not support fp8 kvcache now."
-                # concatenate decode_ql_nope and decode_q_pe -> (B, N, L + P)
-                decode_q = torch.cat(decode_q, dim=-1)
+                if not fp8_attention:
+                    # concatenate decode_ql_nope and decode_q_pe -> (B, N, L + P)
+                    decode_q = torch.cat(decode_q, dim=-1)
                 # decode_q do allgather in head dim.
                 decode_q = get_dcp_group().all_gather(decode_q, dim=1)