| name | optics_analysis |
| description | Optical System Analysis - Analyze optical system: calculate photon rate, frequency range, radiation pressure, and electron wavelength. Use this skill for optics tasks involving calculate incident photon rate calculate frequency range calculate radiation pressure electron wavelength. Combines 4 tools from 1 SCP server(s). |
| i18n | {"zh":{"description":"光学系统分析:光子率、频率、辐。"}} |
Optical System Analysis
Discipline: Optics | Tools Used: 4 | Servers: 1
Description
Analyze optical system: calculate photon rate, frequency range, radiation pressure, and electron wavelength.
Tools Used
calculate_incident_photon_rate from server-23 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics
calculate_frequency_range from server-23 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics
calculate_radiation_pressure from server-23 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics
electron_wavelength from server-23 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics
Workflow
- Calculate incident photon rate
- Calculate frequency range
- Compute radiation pressure
- Calculate electron wavelength
Test Case
Input
{
"wavelength": 5e-07,
"power": 1.0
}
Expected Steps
- Calculate incident photon rate
- Calculate frequency range
- Compute radiation pressure
- Calculate electron wavelength
Usage Example
Note: Replace <YOUR_SCP_HUB_API_KEY> with your own SCP Hub API Key. You can obtain one from the SCP Platform.
import asyncio
import json
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client
SERVERS = {
"server-23": "https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics"
}
async def connect(url, transport_type):
transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "<YOUR_SCP_HUB_API_KEY>"})
read, write, _ = await transport.__aenter__()
ctx = ClientSession(read, write)
session = await ctx.__aenter__()
await session.initialize()
return session, ctx, transport
def parse(result):
try:
if hasattr(result, 'content') and result.content:
c = result.content[0]
if hasattr(c, 'text'):
try: return json.loads(c.text)
except: return c.text
return str(result)
except: return str(result)
async def main():
sessions = {}
sessions[], _, _ = connect(, )
result_1 = sessions[].call_tool(, arguments={})
data_1 = parse(result_1)
()
result_2 = sessions[].call_tool(, arguments={})
data_2 = parse(result_2)
()
result_3 = sessions[].call_tool(, arguments={})
data_3 = parse(result_3)
()
result_4 = sessions[].call_tool(, arguments={})
data_4 = parse(result_4)
()
()
__name__ == :
asyncio.run(main())