docs: Update FastMCP import paths and dependencies

README.md

@@ -76,7 +76,7 @@ Connections between clients and servers are established through transports like
 The fastest way to build MCP servers is with FastMCP, which provides a high-level, Pythonic interface:
 
 ```python
-from fastmcp import FastMCP
+from mcp.server.fastmcp import FastMCP
 
 mcp = FastMCP("Demo")
 
@@ -93,7 +93,7 @@ def get_greeting(name: str) -> str:
 
 FastMCP handles all the complex protocol details and server management, so you can focus on building great tools. It's designed to be high-level and Pythonic - in most cases, decorating a function is all you need.
 
-For more information about FastMCP, see the [FastMCP documentation](https://github.com/jlowin/fastmcp).
+FastMCP was originally developed by Jeremiah Lowin at [jlowin/fastmcp](https://github.com/jlowin/fastmcp). We are grateful for his contribution in developing this excellent framework that has now been integrated into MCP.
 
 ### Low-Level Implementation
 

examples/fastmcp/memory.py

@@ -1,8 +1,8 @@
 # /// script
-# dependencies = ["pydantic-ai-slim[openai]", "asyncpg", "numpy", "pgvector", "fastmcp"]
+# dependencies = ["pydantic-ai-slim[openai]", "asyncpg", "numpy", "pgvector"]
 # ///
 
-# uv pip install 'pydantic-ai-slim[openai]' asyncpg numpy pgvector fastmcp
+# uv pip install 'pydantic-ai-slim[openai]' asyncpg numpy pgvector
 
 """
 Recursive memory system inspired by the human brain's clustering of memories.

examples/fastmcp/text_me.py

@@ -1,5 +1,5 @@
 # /// script
-# dependencies = ["fastmcp"]
+# dependencies = []
 # ///
 
 """