diff --git a/python/kserve/kserve/handlers/v2_datamodels.py b/python/kserve/kserve/handlers/v2_datamodels.py
index 09041fceca3..0f9c1576b80 100644
--- a/python/kserve/kserve/handlers/v2_datamodels.py
+++ b/python/kserve/kserve/handlers/v2_datamodels.py
@@ -97,6 +97,19 @@ class ModelMetadataResponse(BaseModel):
     outputs: List[MetadataTensor]
 
 
+class ModelReadyResponse(BaseModel):
+    """ModelReadyResponse
+
+        $ready_model_response =
+        {
+          "name": $string,
+          "ready": $bool
+        }
+    """
+    name: str
+    ready: bool
+
+
 class RequestInput(BaseModel):
     """RequestInput Model
 
diff --git a/python/kserve/kserve/handlers/v2_endpoints.py b/python/kserve/kserve/handlers/v2_endpoints.py
index a7cdf8a70da..1c894c91f57 100644
--- a/python/kserve/kserve/handlers/v2_endpoints.py
+++ b/python/kserve/kserve/handlers/v2_endpoints.py
@@ -17,8 +17,9 @@
 from fastapi.responses import Response
 from kserve.handlers.v2_datamodels import (
     InferenceRequest, ServerMetadataResponse, ServerLiveResponse, ServerReadyResponse,
-    ModelMetadataResponse, InferenceResponse
+    ModelMetadataResponse, InferenceResponse, ModelReadyResponse
 )
+from kserve.errors import ModelNotReady
 from kserve.handlers.dataplane import DataPlane
 from kserve.handlers.model_repository_extension import ModelRepositoryExtension
 
@@ -74,6 +75,27 @@ async def model_metadata(self, model_name: str, model_version: Optional[str] = N
         metadata = await self.dataplane.model_metadata(model_name)
         return ModelMetadataResponse.parse_obj(metadata)
 
+    async def model_ready(self, model_name: str, model_version: Optional[str] = None) -> ModelReadyResponse:
+        """Check if a given model is ready.
+
+        Args:
+            model_name (str): Model name.
+            model_version (str): Model version.
+
+        Returns:
+            ModelReadyResponse: Model ready object
+        """
+        # TODO: support model_version
+        if model_version:
+            raise NotImplementedError("Model versioning not supported yet.")
+
+        model_ready = self.dataplane.model_ready(model_name)
+
+        if not model_ready:
+            raise ModelNotReady(model_name)
+
+        return ModelReadyResponse.parse_obj({"name": model_name, "ready": model_ready})
+
     async def infer(
         self,
         raw_request: Request,
diff --git a/python/kserve/kserve/model_server.py b/python/kserve/kserve/model_server.py
index 7aef14df37c..0ea3525a24b 100644
--- a/python/kserve/kserve/model_server.py
+++ b/python/kserve/kserve/model_server.py
@@ -37,7 +37,7 @@
 from kserve.handlers.dataplane import DataPlane
 from kserve.handlers.model_repository_extension import ModelRepositoryExtension
 from kserve.handlers.v2_datamodels import InferenceResponse, ServerMetadataResponse, ServerLiveResponse, \
-    ServerReadyResponse, ModelMetadataResponse
+    ServerReadyResponse, ModelMetadataResponse, ModelReadyResponse
 from kserve.model_repository import ModelRepository
 
 
@@ -168,6 +168,10 @@ def create_application(self) -> FastAPI:
                              v2_endpoints.model_metadata, response_model=ModelMetadataResponse, tags=["V2"]),
                 FastAPIRoute(r"/v2/models/{model_name}/versions/{model_version}",
                              v2_endpoints.model_metadata, tags=["V2"], include_in_schema=False),
+                FastAPIRoute(r"/v2/models/{model_name}/ready",
+                             v2_endpoints.model_ready, response_model=ModelReadyResponse, tags=["V2"]),
+                FastAPIRoute(r"v2/models/{model_name}/versions/{model_version}/ready",
+                             v2_endpoints.model_ready, response_model=ModelReadyResponse, tags=["V2"]),
                 FastAPIRoute(r"/v2/models/{model_name}/infer",
                              v2_endpoints.infer, methods=["POST"], response_model=InferenceResponse, tags=["V2"]),
                 FastAPIRoute(r"/v2/models/{model_name}/versions/{model_version}/infer",