#!/usr/bin/env python3
from fastmcp import FastMCP
mcp = FastMCP(
name="Test MCP",
)
# Method 1: Using decorator (current approach)
@mcp.tool
def add_with_decorator(a: int, b: int):
"""Add two numbers using decorator."""
return {"sum": a + b}
# Method 2: Define function first, then register
def multiply_numbers(a: int, b: int):
"""Multiply two numbers."""
return {"product": a * b}
# Try to register the function programmatically
try:
# Let's see what the @mcp.tool decorator actually does
decorated_multiply = mcp.tool(multiply_numbers)
print("Method 2a: Using mcp.tool() as a function - SUCCESS")
except Exception as e:
print(f"Method 2a failed: {e}")
# Method 3: This method doesn't work easily - skip it
print("Method 3: Skipped - requires more complex Tool object creation")
# Method 4: Try different approaches
def divide_numbers(a: int, b: int):
"""Divide two numbers."""
if b == 0:
return {"error": "Division by zero"}
return {"quotient": a / b}
try:
# Maybe we can call the decorator without @ syntax
mcp.tool()(divide_numbers)
print("Method 4: Using mcp.tool()() - SUCCESS")
except Exception as e:
print(f"Method 4 failed: {e}")
if __name__ == "__main__":
print("\nAll methods tested!")
