Chromosome Structure Analysis

SkillProductivity

Chromosome Structure Analysis - Analyze chromosome: NCBI summary, UCSC cytoband, genome sequence, and Ensembl assembly info. Use this skill for cytogenetics tasks involving get chromosome summary get cytoband get chromosome sequence get info assembly. Combines 4 tools from 3 SCP server(s).

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Chromosome Structure Analysis skill

What this skill tells your AI

The instructions your AI receives, as published by internscience/scp in skills/chromosome_analysis/SKILL.md and read by ahel’s review.

Discipline: Cytogenetics | Tools Used: 4 | Servers: 3

Description

Analyze chromosome: NCBI summary, UCSC cytoband, genome sequence, and Ensembl assembly info.

Tools Used

  • get_chromosome_summary from ncbi-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/9/Origene-NCBI
  • get_cytoband from ucsc-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSC
  • get_chromosome_sequence from ucsc-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSC
  • get_info_assembly from ensembl-server (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl

Workflow

  1. Get chromosome summary from NCBI
  2. Get cytoband info from UCSC
  3. Get chromosome sequence
  4. Get Ensembl assembly info

Test Case

Input

{
    "taxon": "human",
    "chromosome": "chr21",
    "genome": "hg38",
    "species": "homo_sapiens"
}

Expected Steps

  1. Get chromosome summary from NCBI
  2. Get cytoband info from UCSC
  3. Get chromosome sequence
  4. Get Ensembl assembly info

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 = {
    "ncbi-server": "https://scp.intern-ai.org.cn/api/v1/mcp/9/Origene-NCBI",
    "ucsc-server": "https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSC",
    "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["ncbi-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/9/Origene-NCBI", "streamable-http")
    sessions["ucsc-server"], _, _ = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/13/Origene-UCSC", "streamable-http")
    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 chromosome summary from NCBI
    result_1 = await sessions["ncbi-server"].call_tool("get_chromosome_summary", arguments={})
    data_1 = parse(result_1)
    print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")

    # Step 2: Get cytoband info from UCSC
    result_2 = await sessions["ucsc-server"].call_tool("get_cytoband", arguments={})
    data_2 = parse(result_2)
    print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")

    # Step 3: Get chromosome sequence
    result_3 = await sessions["ucsc-server"].call_tool("get_chromosome_sequence", arguments={})
    data_3 = parse(result_3)
    print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")

    # Step 4: Get Ensembl assembly info
    result_4 = await sessions["ensembl-server"].call_tool("get_info_assembly", 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
chromosome-analysis
Source
github.com/internscience/scp