'Gene Family Evolution Analysis - Analyze gene family evolution: CAFE
Scanned 9/11/2026
Install to Claude Code
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---
name: gene_family_evolution
description: 'Gene Family Evolution Analysis - Analyze gene family evolution: CAFE
gene tree, homology, Ensembl gene tree, and taxonomy. Use this skill for molecular
evolution tasks involving get cafe genetree member symbol get homology symbol get
genetree member symbol get taxonomy classification. Combines 4 tools from 1 SCP
server(s).'
i18n:
zh:
description: 基因家族进化分析。
---
# Gene Family Evolution Analysis
**Discipline**: Molecular Evolution | **Tools Used**: 4 | **Servers**: 1
## Description
Analyze gene family evolution: CAFE gene tree, homology, Ensembl gene tree, and taxonomy.
## Tools Used
- **`get_cafe_genetree_member_symbol`** from `ensembl-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl`
- **`get_homology_symbol`** from `ensembl-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl`
- **`get_genetree_member_symbol`** from `ensembl-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl`
- **`get_taxonomy_classification`** from `ensembl-server` (streamable-http) - `https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl`
## Workflow
1. Get CAFE gene family evolution tree
2. Find homologs across species
3. Get full gene tree
4. Get taxonomic classification
## Test Case
### Input
```json
{
"gene": "TP53",
"species": "homo_sapiens"
}
```
### Expected Steps
1. Get CAFE gene family evolution tree
2. Find homologs across species
3. Get full gene tree
4. Get taxonomic classification
## 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 = {
"ensembl-server": "https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl"
}
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["ensembl-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl", "streamable-http")
# Execute workflow steps
# Step 1: Get CAFE gene family evolution tree
result_1 = await sessions["ensembl-server"].call_tool("get_cafe_genetree_member_symbol", arguments={})
data_1 = parse(result_1)
print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")
# Step 2: Find homologs across species
result_2 = await sessions["ensembl-server"].call_tool("get_homology_symbol", arguments={})
data_2 = parse(result_2)
print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")
# Step 3: Get full gene tree
result_3 = await sessions["ensembl-server"].call_tool("get_genetree_member_symbol", arguments={})
data_3 = parse(result_3)
print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")
# Step 4: Get taxonomic classification
result_4 = await sessions["ensembl-server"].call_tool("get_taxonomy_classification", 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())
```
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