# Polymer Property Analysis

> Polymer & 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).

- Skill: `internscience/polymer-property-analysis` (Agent Skill)
- Install (CLI): `npx skillmds@latest add internscience/polymer-property-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/internscience/polymer-property-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: internscience (https://skillmd.com/u/internscience)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/internscience/polymer-property-analysis

---


# Polymer & Material Property Analysis

**Discipline**: Polymer Science | **Tools Used**: 4 | **Servers**: 2

## Description

Analyze polymer properties: composition, symmetry, density, and lattice parameters for material design.

## Tools Used

- **`MaterialCompositionAnalyzer`** from `server-28` (sse) - `https://scp.intern-ai.org.cn/api/v1/mcp/28/InternAgent`
- **`CalculateSymmetry`** from `server-30` (sse) - `https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-Mat`
- **`CalculateDensity`** from `server-30` (sse) - `https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-Mat`
- **`MofLattice`** from `server-30` (sse) - `https://scp.intern-ai.org.cn/api/v1/mcp/30/SciToolAgent-Mat`

## Workflow

1. Analyze material composition
2. Calculate symmetry group
3. Calculate density
4. Get lattice parameters

## Test Case

### Input
```json
{
    "material_data": "example_material"
}
```

### Expected Steps
1. Analyze material composition
2. Calculate symmetry group
3. Calculate density
4. 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](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-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())
```