Claude MCP vs function calling comparison

import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])

functions = [
    {
        "name": "get_current_weather",
        "description": "Get the current weather in a given location",
        "parameters": {
            "type": "object",
            "properties": {
                "location": {"type": "string", "description": "City and state, e.g. San Francisco, CA"},
                "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}
            },
            "required": ["location"]
        }
    }
]

messages = [
    {"role": "user", "content": "What's the weather like in New York?"}
]

response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=messages,
    functions=functions,
    function_call="auto"
)

print(response.choices[0].message.content)

import os
from mcp.server.stdio import stdio_server
from mcp.server import Server

# Define a simple tool handler
class WeatherTool:
    def handle(self, params):
        location = params.get("location", "unknown")
        # Simulate fetching weather
        return {"temperature": "72F", "location": location}

# Create MCP server with tool
server = Server(handlers={"get_current_weather": WeatherTool()})

# Run MCP server over stdio
stdio_server(server)