Polymer & Material Property Analysis
SkillMediaPolymer & Material Property Analysis - Analyze polymer properties: composition, symmetry, density, and lattice parameters for material design. Use this skill for polymer science tasks involving MaterialCompositionAnalyzer CalculateSymmetry CalculateDensity MofLattice. Combines 4 tools from 2 SCP server(s).
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Then ask your AI: use the Polymer & Material Property Analysis skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/scp in skills/polymer_property_analysis/SKILL.md and read by ahel’s review.
Discipline: Polymer Science | Tools Used: 4 | Servers: 2
Description
Analyze polymer properties: composition, symmetry, density, and lattice parameters for material design.
Tools Used
MaterialCompositionAnalyzerfromserver-28(sse) -https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgentCalculateSymmetryfromserver-30(sse) -https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-MatCalculateDensityfromserver-30(sse) -https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-MatMofLatticefromserver-30(sse) -https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-Mat
Workflow
- Analyze material composition
- Calculate symmetry group
- Calculate density
- Get lattice parameters
Test Case
Input
{
"material_data": "example_material"
}
Expected Steps
- Analyze material composition
- Calculate symmetry group
- Calculate density
- Get lattice parameters
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-28": "https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent",
"server-30": "https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-Mat"
}
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-28"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent", "sse")
sessions["server-30"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-Mat", "sse")
# Execute workflow steps
# Step 1: Analyze material composition
result_1 = await sessions["server-28"].call_tool("MaterialCompositionAnalyzer", arguments={})
data_1 = parse(result_1)
print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")
# Step 2: Calculate symmetry group
result_2 = await sessions["server-30"].call_tool("CalculateSymmetry", arguments={})
data_2 = parse(result_2)
print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")
# Step 3: Calculate density
result_3 = await sessions["server-30"].call_tool("CalculateDensity", arguments={})
data_3 = parse(result_3)
print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")
# Step 4: Get lattice parameters
result_4 = await sessions["server-30"].call_tool("MofLattice", arguments={})
data_4 = parse(result_4)
print(f"Step 4 result: {json.dumps(data_4, indent=2, ensure_ascii=False)[:500]}")
# Cleanup
print("Workflow complete!")
if __name__ == "__main__":
asyncio.run(main())
Signals
- GitHub stars
- 167
- Forks
- 9
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
polymer-property-analysis- Source
- github.com/internscience/scp