MCP官方示例+Cherry Studio尝试

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MCP文档Model Context Protocol
按文档一步步安装，并创建以下代码：

1. from typing import Any
   
2. import httpx
   
3. from mcp.server.fastmcp import FastMCP
   
4. 
   
5. # Initialize FastMCP server
   
6. mcp = FastMCP("weather")
   
7. 
   
8. # Constants
   
9. NWS_API_BASE = "https://api.weather.gov"
   
10. USER_AGENT = "weather-app/1.0"
    
11. 
    
12. 
    
13. async def make_nws_request(url: str) -> dict[str, Any] | None:
    
14.     """Make a request to the NWS API with proper error handling."""
    
15.     headers = {
    
16.         "User-Agent": USER_AGENT,
    
17.         "Accept": "application/geo+json"
    
18.     }
    
19.     async with httpx.AsyncClient() as client:
    
20.         try:
    
21.             response = await client.get(url, headers=headers, timeout=30.0)
    
22.             response.raise_for_status()
    
23.             return response.json()
    
24.         except Exception:
    
25.             return None
    
26. 
    
27. def format_alert(feature: dict) -> str:
    
28.     """Format an alert feature into a readable string."""
    
29.     props = feature["properties"]
    
30.     return f"""
    
31. Event: {props.get('event', 'Unknown')}
    
32. Area: {props.get('areaDesc', 'Unknown')}
    
33. Severity: {props.get('severity', 'Unknown')}
    
34. Description: {props.get('description', 'No description available')}
    
35. Instructions: {props.get('instruction', 'No specific instructions provided')}
    
36. """
    
37. 
    
38. 
    
39. 
    
40. @mcp.tool()
    
41. async def get_alerts(state: str) -> str:
    
42.     """Get weather alerts for a US state.
    
43. 
    
44.     Args:
    
45.         state: Two-letter US state code (e.g. CA, NY)
    
46.     """
    
47.     url = f"{NWS_API_BASE}/alerts/active/area/{state}"
    
48.     data = await make_nws_request(url)
    
49. 
    
50.     if not data or "features" not in data:
    
51.         return "Unable to fetch alerts or no alerts found."
    
52. 
    
53.     if not data["features"]:
    
54.         return "No active alerts for this state."
    
55. 
    
56.     alerts = [format_alert(feature) for feature in data["features"]]
    
57.     return "\n---\n".join(alerts)
    
58. 
    
59. @mcp.tool()
    
60. async def get_forecast(latitude: float, longitude: float) -> str:
    
61.     """Get weather forecast for a location.
    
62. 
    
63.     Args:
    
64.         latitude: Latitude of the location
    
65.         longitude: Longitude of the location
    
66.     """
    
67.     # First get the forecast grid endpoint
    
68.     points_url = f"{NWS_API_BASE}/points/{latitude},{longitude}"
    
69.     points_data = await make_nws_request(points_url)
    
70. 
    
71.     if not points_data:
    
72.         return "Unable to fetch forecast data for this location."
    
73. 
    
74.     # Get the forecast URL from the points response
    
75.     forecast_url = points_data["properties"]["forecast"]
    
76.     forecast_data = await make_nws_request(forecast_url)
    
77. 
    
78.     if not forecast_data:
    
79.         return "Unable to fetch detailed forecast."
    
80. 
    
81.     # Format the periods into a readable forecast
    
82.     periods = forecast_data["properties"]["periods"]
    
83.     forecasts = []
    
84.     for period in periods[:5]:  # Only show next 5 periods
    
85.         forecast = f"""
    
86. {period['name']}:
    
87. Temperature: {period['temperature']}°{period['temperatureUnit']}
    
88. Wind: {period['windSpeed']} {period['windDirection']}
    
89. Forecast: {period['detailedForecast']}
    
90. """
    
91.         forecasts.append(forecast)
    
92. 
    
93.     return "\n---\n".join(forecasts)
    
94. 
    
95. 
    
96. if __name__ == "__main__":
    
97.     # Initialize and run the server
    
98.     mcp.run(transport='stdio')

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在Cherry Studio添加MCP配置

MCP配置

测试勾选MCP，使用qianwen-max模型，可以看见模型还是很给力识别到了工具，并调用了工具函数get_forecast获取了纽约的天气，总结输出。

测试MCP

有点意思，但是不知道能干嘛！
期待小甲鱼出MCP教程 ！

不二如是

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