diff --git a/llama_stack/providers/remote/vector_io/mongodb/__init__.py b/llama_stack/providers/remote/vector_io/mongodb/__init__.py
index 6388c647e..d209fa3e2 100644
--- a/llama_stack/providers/remote/vector_io/mongodb/__init__.py
+++ b/llama_stack/providers/remote/vector_io/mongodb/__init__.py
@@ -14,6 +14,7 @@ async def get_adapter_impl(config: MongoDBVectorIOConfig, deps: dict[Api, Provid
 
     # Handle the deps resolution - if files API exists, pass it, otherwise None
     files_api = deps.get(Api.files)
-    impl = MongoDBVectorIOAdapter(config, deps[Api.inference], files_api)
+    models_api = deps.get(Api.models)
+    impl = MongoDBVectorIOAdapter(config, deps[Api.inference], files_api, models_api)
     await impl.initialize()
     return impl
diff --git a/llama_stack/providers/remote/vector_io/mongodb/mongodb.py b/llama_stack/providers/remote/vector_io/mongodb/mongodb.py
index c30ab0a47..b17fa910e 100644
--- a/llama_stack/providers/remote/vector_io/mongodb/mongodb.py
+++ b/llama_stack/providers/remote/vector_io/mongodb/mongodb.py
@@ -18,11 +18,7 @@ from pymongo.server_api import ServerApi
 from llama_stack.apis.common.errors import VectorStoreNotFoundError
 from llama_stack.apis.inference import InterleavedContent
 from llama_stack.apis.vector_dbs import VectorDB
-from llama_stack.apis.vector_io import (
-    Chunk,
-    QueryChunksResponse,
-    VectorIO,
-)
+from llama_stack.apis.vector_io import Chunk, QueryChunksResponse, VectorIO
 from llama_stack.log import get_logger
 from llama_stack.providers.datatypes import (
     HealthResponse,
@@ -402,12 +398,14 @@ class MongoDBVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocol
         config: MongoDBVectorIOConfig,
         inference_api,
         files_api=None,
+        models_api=None,
     ) -> None:
         # Handle the case where files_api might be a ProviderSpec that needs resolution
         resolved_files_api = files_api
         super().__init__(files_api=resolved_files_api, kvstore=None)
         self.config = config
         self.inference_api = inference_api
+        self.models_api = models_api
         self.client: MongoClient | None = None
         self.database: Database | None = None
         self.cache: dict[str, VectorDBWithIndex] = {}