unit_conversion_suite
$
npx mdskill add InternScience/scp/unit_conversion_suite**Discipline**: Metrology | **Tools Used**: 5 | **Servers**: 1
SKILL.md
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---
name: unit_conversion_suite
description: "Multi-Unit Conversion Suite - Convert units across domains: length mm to m, radius m to cm, dimensions to meters, nm to um, volume to cm3. Use this skill for metrology tasks involving convert length mm to m convert radius m to cm convert dimensions to meters convert nm to um convert volume to cm3. Combines 5 tools from 1 SCP server(s)."
---
# Multi-Unit Conversion Suite
**Discipline**: Metrology | **Tools Used**: 5 | **Servers**: 1
## Description
Convert units across domains: length mm to m, radius m to cm, dimensions to meters, nm to um, volume to cm3.
## Tools Used
- **`convert_length_mm_to_m`** from `server-27` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion`
- **`convert_radius_m_to_cm`** from `server-27` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion`
- **`convert_dimensions_to_meters`** from `server-27` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion`
- **`convert_nm_to_um`** from `server-27` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion`
- **`convert_volume_to_cm3`** from `server-27` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion`
## Workflow
1. Convert mm to m
2. Convert radius m to cm
3. Convert dimensions to meters
4. Convert nm to um
5. Convert volume to cm3
## Test Case
### Input
```json
{
"length_mm": 100,
"radius_m": 0.5,
"nm_val": 500
}
```
### Expected Steps
1. Convert mm to m
2. Convert radius m to cm
3. Convert dimensions to meters
4. Convert nm to um
5. Convert volume to cm3
## Usage Example
> **Note:** Replace `<YOUR_SCP_HUB_API_KEY>` with your own SCP Hub API Key. You can obtain one from the [SCP Platform](https://scphub.intern-ai.org.cn).
```python
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-27": "https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion"
}
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():
# Connect to required servers
sessions = {}
sessions["server-27"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/27/Physical_Quantities_Conversion", "streamable-http")
# Execute workflow steps
# Step 1: Convert mm to m
result_1 = await sessions["server-27"].call_tool("convert_length_mm_to_m", arguments={})
data_1 = parse(result_1)
print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")
# Step 2: Convert radius m to cm
result_2 = await sessions["server-27"].call_tool("convert_radius_m_to_cm", arguments={})
data_2 = parse(result_2)
print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")
# Step 3: Convert dimensions to meters
result_3 = await sessions["server-27"].call_tool("convert_dimensions_to_meters", arguments={})
data_3 = parse(result_3)
print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")
# Step 4: Convert nm to um
result_4 = await sessions["server-27"].call_tool("convert_nm_to_um", arguments={})
data_4 = parse(result_4)
print(f"Step 4 result: {json.dumps(data_4, indent=2, ensure_ascii=False)[:500]}")
# Step 5: Convert volume to cm3
result_5 = await sessions["server-27"].call_tool("convert_volume_to_cm3", arguments={})
data_5 = parse(result_5)
print(f"Step 5 result: {json.dumps(data_5, indent=2, ensure_ascii=False)[:500]}")
# Cleanup
print("Workflow complete!")
if __name__ == "__main__":
asyncio.run(main())
```