nuclear-physics

name	nuclear_physics
description	Nuclear Physics Calculations - Nuclear physics: energy conversion MeV to J, calculate total power, photon rate, and error analysis. Use this skill for nuclear physics tasks involving convert energy MeV to J calculate total power calculate incident photon rate calculate absolute error. Combines 4 tools from 3 SCP server(s).
i18n	{"zh":{"description":"核物理计算：能量转换、功率、光。"}}

Nuclear Physics Calculations

Discipline: Nuclear Physics | Tools Used: 4 | Servers: 3

Description

Nuclear physics: energy conversion MeV to J, calculate total power, photon rate, and error analysis.

Tools Used

• convert_energy_MeV_to_J from server-22 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/22/Thermal_Fluid_Dynamics
• calculate_total_power from server-23 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics
• calculate_incident_photon_rate from server-23 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics
• calculate_absolute_error from server-26 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/26/Data_processing_and_statistical_analysis

Workflow

1. Convert nuclear energy to Joules
2. Calculate total power
3. Calculate photon rate
4. Analyze measurement error

Test Case

Input

{
    "energy_MeV": 931.5,
    "wavelength": 1e-10
}

Expected Steps

1. Convert nuclear energy to Joules
2. Calculate total power
3. Calculate photon rate
4. Analyze measurement error

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-22": "https://scp.intern-ai.org.cn/api/v1/mcp/22/Thermal_Fluid_Dynamics",
    "server-23": "https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics",
    "server-26": "https://scp.intern-ai.org.cn/api/v1/mcp/26/Data_processing_and_statistical_analysis"
}

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 (result)

  ():
    
    sessions = {}
    sessions[], _, _ =  connect(, )
    sessions[], _, _ =  connect(, )
    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())