diff --git a/temporalio/contrib/openai_agents/README.md b/temporalio/contrib/openai_agents/README.md
index 12c29bec5..9acd958ad 100644
--- a/temporalio/contrib/openai_agents/README.md
+++ b/temporalio/contrib/openai_agents/README.md
@@ -383,6 +383,7 @@ from temporalio.contrib.openai_agents import (
 )
 from temporalio.worker import Worker
 
+
 async def main():
     # Create the MCP server provider
     filesystem_server = StatelessMCPServerProvider(
@@ -403,7 +404,7 @@ async def main():
                 model_params=ModelActivityParameters(
                     start_to_close_timeout=timedelta(seconds=60)
                 ),
-                mcp_servers=[filesystem_server],
+                mcp_server_providers=[filesystem_server],
             ),
         ],
     )
@@ -415,6 +416,7 @@ async def main():
     )
     await worker.run()
 
+
 if __name__ == "__main__":
     asyncio.run(main())
 ```
diff --git a/temporalio/contrib/openai_agents/_temporal_openai_agents.py b/temporalio/contrib/openai_agents/_temporal_openai_agents.py
index 49b186d98..d893affde 100644
--- a/temporalio/contrib/openai_agents/_temporal_openai_agents.py
+++ b/temporalio/contrib/openai_agents/_temporal_openai_agents.py
@@ -196,7 +196,7 @@ class OpenAIAgentsPlugin(temporalio.client.Plugin, temporalio.worker.Plugin):
             of model calls. If None, default parameters will be used.
         model_provider: Optional model provider for custom model implementations.
             Useful for testing or custom model integrations.
-        mcp_servers: Sequence of MCP servers to automatically register with the worker.
+        mcp_server_providers: Sequence of MCP servers to automatically register with the worker.
             The plugin will wrap each server in a TemporalMCPServer if needed and
             manage their connection lifecycles tied to the worker lifetime. This is
             the recommended way to use MCP servers with Temporal workflows.
@@ -223,7 +223,7 @@ class OpenAIAgentsPlugin(temporalio.client.Plugin, temporalio.worker.Plugin):
         >>> # Create plugin with MCP servers
         >>> plugin = OpenAIAgentsPlugin(
         ...     model_params=model_params,
-        ...     mcp_servers=[filesystem_server]
+        ...     mcp_server_providers=[filesystem_server]
         ... )
         >>>
         >>> # Use with client and worker
@@ -242,7 +242,7 @@ def __init__(
         self,
         model_params: Optional[ModelActivityParameters] = None,
         model_provider: Optional[ModelProvider] = None,
-        mcp_servers: Sequence[
+        mcp_server_providers: Sequence[
             Union["StatelessMCPServerProvider", "StatefulMCPServerProvider"]
         ] = (),
     ) -> None:
@@ -253,7 +253,7 @@ def __init__(
                 of model calls. If None, default parameters will be used.
             model_provider: Optional model provider for custom model implementations.
                 Useful for testing or custom model integrations.
-            mcp_servers: Sequence of MCP servers to automatically register with the worker.
+            mcp_server_providers: Sequence of MCP servers to automatically register with the worker.
                 Each server will be wrapped in a TemporalMCPServer if not already wrapped,
                 and their activities will be automatically registered with the worker.
                 The plugin manages the connection lifecycle of these servers.
@@ -276,7 +276,7 @@ def __init__(
 
         self._model_params = model_params
         self._model_provider = model_provider
-        self._mcp_servers = mcp_servers
+        self._mcp_server_providers = mcp_server_providers
 
     def init_client_plugin(self, next: temporalio.client.Plugin) -> None:
         """Set the next client plugin"""
@@ -340,13 +340,13 @@ def configure_worker(self, config: WorkerConfig) -> WorkerConfig:
         ]
         new_activities = [ModelActivity(self._model_provider).invoke_model_activity]
 
-        server_names = [server.name for server in self._mcp_servers]
+        server_names = [server.name for server in self._mcp_server_providers]
         if len(server_names) != len(set(server_names)):
             raise ValueError(
                 f"More than one mcp server registered with the same name. Please provide unique names."
             )
 
-        for mcp_server in self._mcp_servers:
+        for mcp_server in self._mcp_server_providers:
             new_activities.extend(mcp_server._get_activities())
         config["activities"] = list(config.get("activities") or []) + new_activities
 
diff --git a/tests/contrib/openai_agents/test_openai.py b/tests/contrib/openai_agents/test_openai.py
index bcaeccfd9..565792632 100644
--- a/tests/contrib/openai_agents/test_openai.py
+++ b/tests/contrib/openai_agents/test_openai.py
@@ -2438,7 +2438,7 @@ async def get_prompt(
             model_provider=TestModelProvider(TrackingMCPModel())
             if use_local_model
             else None,
-            mcp_servers=[server],
+            mcp_server_providers=[server],
         )
     ]
     client = Client(**new_config)
@@ -2548,7 +2548,7 @@ def override_get_activities() -> Sequence[Callable]:
                 start_to_close_timeout=timedelta(seconds=120)
             ),
             model_provider=TestModelProvider(TrackingMCPModel()),
-            mcp_servers=[server],
+            mcp_server_providers=[server],
         )
     ]
     client = Client(**new_config)