diff --git a/README.md b/README.md
index 0e82b30..31b9275 100644
--- a/README.md
+++ b/README.md
@@ -60,7 +60,7 @@ from mcp import ClientSession, StdioServerParameters
 from mcp.client.stdio import stdio_client
 
 from langchain_mcp_adapters.tools import load_mcp_tools
-from langgraph.prebuilt import create_react_agent
+from langchain.agents import create_agent
 
 server_params = StdioServerParameters(
     command="python",
@@ -77,7 +77,7 @@ async with stdio_client(server_params) as (read, write):
         tools = await load_mcp_tools(session)
 
         # Create and run the agent
-        agent = create_react_agent("openai:gpt-4.1", tools)
+        agent = create_agent("openai:gpt-4.1", tools)
         agent_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"})
 ```
 
@@ -114,7 +114,7 @@ python weather_server.py
 
 ```python
 from langchain_mcp_adapters.client import MultiServerMCPClient
-from langgraph.prebuilt import create_react_agent
+from langchain.agents import create_agent
 
 client = MultiServerMCPClient(
     {
@@ -132,7 +132,7 @@ client = MultiServerMCPClient(
     }
 )
 tools = await client.get_tools()
-agent = create_react_agent("openai:gpt-4.1", tools)
+agent = create_agent("openai:gpt-4.1", tools)
 math_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"})
 weather_response = await agent.ainvoke({"messages": "what is the weather in nyc?"})
 ```
@@ -169,7 +169,7 @@ To use it with Python MCP SDK `streamablehttp_client`:
 from mcp import ClientSession
 from mcp.client.streamable_http import streamablehttp_client
 
-from langgraph.prebuilt import create_react_agent
+from langchain.agents import create_agent
 from langchain_mcp_adapters.tools import load_mcp_tools
 
 async with streamablehttp_client("http://localhost:3000/mcp/") as (read, write, _):
@@ -179,7 +179,7 @@ async with streamablehttp_client("http://localhost:3000/mcp/") as (read, write,
 
         # Get tools
         tools = await load_mcp_tools(session)
-        agent = create_react_agent("openai:gpt-4.1", tools)
+        agent = create_agent("openai:gpt-4.1", tools)
         math_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"})
 ```
 
@@ -188,7 +188,7 @@ Use it with `MultiServerMCPClient`:
 ```python
 # Use server from examples/servers/streamable-http-stateless/
 from langchain_mcp_adapters.client import MultiServerMCPClient
-from langgraph.prebuilt import create_react_agent
+from langchain.agents import create_agent
 
 client = MultiServerMCPClient(
     {
@@ -199,7 +199,7 @@ client = MultiServerMCPClient(
     }
 )
 tools = await client.get_tools()
-agent = create_react_agent("openai:gpt-4.1", tools)
+agent = create_agent("openai:gpt-4.1", tools)
 math_response = await agent.ainvoke({"messages": "what's (3 + 5) x 12?"})
 ```
 
@@ -214,7 +214,7 @@ When connecting to MCP servers, you can include custom headers (e.g., for authen
 
 ```python
 from langchain_mcp_adapters.client import MultiServerMCPClient
-from langgraph.prebuilt import create_react_agent
+from langchain.agents import create_agent
 
 client = MultiServerMCPClient(
     {
@@ -229,7 +229,7 @@ client = MultiServerMCPClient(
     }
 )
 tools = await client.get_tools()
-agent = create_react_agent("openai:gpt-4.1", tools)
+agent = create_agent("openai:gpt-4.1", tools)
 response = await agent.ainvoke({"messages": "what is the weather in nyc?"})
 ```
 
@@ -291,7 +291,7 @@ If you want to run a LangGraph agent that uses MCP tools in a LangGraph API serv
 # graph.py
 from contextlib import asynccontextmanager
 from langchain_mcp_adapters.client import MultiServerMCPClient
-from langgraph.prebuilt import create_react_agent
+from langchain.agents import create_agent
 
 async def make_graph():
     client = MultiServerMCPClient(
@@ -310,7 +310,7 @@ async def make_graph():
         }
     )
     tools = await client.get_tools()
-    agent = create_react_agent("openai:gpt-4.1", tools)
+    agent = create_agent("openai:gpt-4.1", tools)
     return agent
 ```