Update composition.mdx

docs/servers/composition.mdx

@@ -206,85 +206,3 @@ main_mcp.mount(
 <Warning>
 Be cautious when choosing separators. Some MCP clients (like Claude Desktop) might have restrictions on characters allowed in tool names (e.g., `/` might not be supported). The defaults (`_` for names, `+` for URIs) are generally safe.
 </Warning>
-
-## Example: Modular Application
-
-Here's a modular application structure using `import_server`:
-
-<CodeGroup>
-```python main.py
-from fastmcp import FastMCP
-import asyncio
-from modules.text_server import text_mcp
-from modules.data_server import data_mcp
-import random
-
-app = FastMCP(name="MainApplication")
-
-async def setup():
-    # Import the utility servers
-    await app.import_server("text", text_mcp)
-    await app.import_server("data", data_mcp)
-
-@app.tool()
-def process_and_analyze(record_id: int) -> str:
-    """Fetches a record and analyzes its string representation."""
-    # Get record data
-    record = {"id": record_id, "value": random.random()}
-    
-    # Count words in the record string representation
-    word_count = len(str(record).split())
-    
-    return (
-        f"Record {record_id} has {word_count} words in its string "
-        f"representation."
-    )
-
-if __name__ == "__main__":
-    asyncio.run(setup())
-    app.run()
-```
-
-```python modules/text_server.py
-from fastmcp import FastMCP
-
-text_mcp = FastMCP(name="TextUtilities")
-
-@text_mcp.tool()
-def count_words(text: str) -> int:
-    """Counts words in a text."""
-    return len(text.split())
-
-@text_mcp.resource("resource://stopwords")
-def get_stopwords() -> list[str]:
-    """Return a list of common stopwords."""
-    return ["the", "a", "is", "in"]
-```
-
-```python modules/data_server.py
-from fastmcp import FastMCP
-import random
-from typing import Dict
-
-data_mcp = FastMCP(name="DataAPI")
-
-@data_mcp.tool()
-def fetch_record(record_id: int) -> Dict:
-    """Fetches a dummy data record."""
-    return {"id": record_id, "value": random.random()}
-
-@data_mcp.resource("data://schema/{table}")
-def get_table_schema(table: str) -> Dict:
-    """Provides a dummy schema for a table."""
-    return {"table": table, "columns": ["id", "value"]}
-```
-</CodeGroup>
-
-Running `main.py` starts a server that exposes these prefixed components:
-- `text_count_words` 
-- `data_fetch_record`
-- `process_and_analyze` (defined in main app)
-- `text+resource://stopwords`
-- `data+data://schema/{table}` (template)
-
-This pattern promotes code organization and reuse within your FastMCP projects.