Ensembl Sequence Retrieval

SkillDatabases & data

Retrieve 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.

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

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