Ensembl Sequence Retrieval
SkillDatabases & dataRetrieve genomic sequences from Ensembl database using transcript or gene IDs to obtain nucleotide and protein sequences.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Ensembl Sequence Retrieval skill
What this skill tells your AI
The instructions your AI receives, as published by spectrai-initiative/innoclaw in .claude/skills/ensembl-sequence-retrieval/SKILL.md and read by ahel’s review.
Usage
1. MCP Server Definition
import asyncio
import json
from contextlib import AsyncExitStack
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class OrigeneClient:
"""Origene-Ensembl MCP Client"""
def __init__(self, server_url: str, api_key: str):
self.server_url = server_url
self.api_key = api_key
self.session = None
async def connect(self):
try:
self.transport = streamablehttp_client(
url=self.server_url,
headers={"SCP-HUB-API-KEY": self.api_key}
)
self._stack = AsyncExitStack()
await self._stack.__aenter__()
self.read, self.write, self.get_session_id = await self._stack.enter_async_context(self.transport)
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self._stack.enter_async_context(self.session_ctx)
await self.session.initialize()
return True
except Exception as e:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
"""Disconnect from server"""
try:
if hasattr(self, '_stack'):
await self._stack.aclose()
print("✓ already disconnect")
except Exception as e:
print(f"✗ disconnect error: {e}")
def parse_result(self, result):
if isinstance(result, dict):
content_list = result.get("content") or []
else:
content_list = getattr(result, "content", []) or []
texts = []
for item in content_list:
if isinstance(item, dict):
if item.get("type") == "text":
texts.append(item.get("text") or "")
else:
if getattr(item, "type", None) == "text":
texts.append(getattr(item, "text", "") or "")
return "".join(texts)
2. Sequence Retrieval Workflow
Implementation:
## Initialize client
client = OrigeneClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/12/Origene-Ensembl",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
## Retrieve sequence by Ensembl ID
result = await client.session.call_tool(
"get_sequence_id",
arguments={
"id": "ENST00000380152"
}
)
result_data = client.parse_result(result)
print(result_data)
await client.disconnect()
Tool Descriptions
Origene-Ensembl Server:
get_sequence_id: Retrieve sequence by Ensembl ID- Args:
id(str): Ensembl transcript or gene ID
- Returns: Genomic or protein sequence
- Args:
Use Cases
- Genome annotation
- Comparative genomics
- Transcript analysis
- Protein sequence retrieval
Signals
- GitHub stars
- 392
- Forks
- 28
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
ensembl-sequence-retrieval-spectrai-initiative- Source
- github.com/spectrai-initiative/innoclaw