optics-analysis

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).

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

1. Calculate incident photon rate
2. Calculate frequency range
3. Compute radiation pressure
4. Calculate electron wavelength

Test Case

Input

{
    "wavelength": 5e-07,
    "power": 1.0
}

Expected Steps

1. Calculate incident photon rate
2. Calculate frequency range
3. Compute radiation pressure
4. Calculate electron wavelength

Usage Example

Note: Replace sk-b04409a1-b32b-4511-9aeb-22980abdc05c with your own SCP Hub API Key. You can obtain one from the SCP Platform.

import asyncio
import json
from contextlib import AsyncExitStack
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, stack):
    transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "sk-b04409a1-b32b-4511-9aeb-22980abdc05c"})
    read, write, _ = await stack.enter_async_context(transport)
    ctx = ClientSession(read, write)
    session = await stack.enter_async_context(ctx)
    await session.initialize()
    return session

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():
      AsyncExitStack()  stack:
        
        sessions = {}
        sessions[] =  connect(, stack)

        
        
        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())