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from fastmcp import FastMCP
from textblob import TextBlob
# Create an MCP server
mcp = FastMCP("Weather Service")
@mcp.tool()
def get_weather(location: str) -> str:
"""Get the current weather for a specified location."""
return f"Weather in {location}: Sunny, 72°F"
@mcp.tool()
def sentiment_analysis(text: str) -> dict:
"""
Analyze the sentiment of the given text.
Args:
text (str): The text to analyze
Returns:
dict: A dictionary containing polarity, subjectivity, and assessment
"""
blob = TextBlob(text)
sentiment = blob.sentiment
return {
"polarity": round(sentiment.polarity, 2), # -1 (negative) to 1 (positive)
"subjectivity": round(sentiment.subjectivity, 2), # 0 (objective) to 1 (subjective)
"assessment": "positive" if sentiment.polarity > 0 else "negative" if sentiment.polarity < 0 else "neutral"
}
@mcp.tool()
def prime_factors(n: int) -> list[int]:
"""
Find all prime factors of input integer n
Args:
n (int): The integer to find all prime factors for
Returns:
list[int]: list of all integer prime factors of n
"""
factors = []
d = 2
while d * d <= n:
while n % d == 0:
factors.append(d)
n //= d
d += 1
if n > 1:
factors.append(n)
return factors
@mcp.resource("resource://greeting")
def greeting() -> str:
"""Provide weather data as a resource."""
return "hello world"
@mcp.resource("weather://{location}")
def weather_resource(location: str) -> str:
"""Provide weather data as a resource."""
return f"Weather data for {location}: Sunny, 72°F"
@mcp.prompt()
def weather_report(location: str) -> str:
"""Create a weather report prompt."""
return f"""You are a weather reporter. Weather report for {location}?"""
# Run the server
if __name__ == "__main__":
mcp.run()
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