Open Targets Disease-Target Association

SkillDev tools

Retrieve disease-associated targets from Open Targets using disease EFO IDs to identify therapeutic targets.

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 Open Targets Disease-Target Association skill

What this skill tells your AI

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

Usage

import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession

class OrigeneClient:
    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.read, self.write, self.get_session_id = await self.transport.__aenter__()
            self.session_ctx = ClientSession(self.read, self.write)
            self.session = await self.session_ctx.__aenter__()
            await self.session.initialize()
            return True
        except Exception as e:
            return False

    async def disconnect(self):
        if self.session:
            await self.session_ctx.__aexit__(None, None, None)
        if hasattr(self, 'transport'):
            await self.transport.__aexit__(None, None, None)

    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)

## Initialize and use
client = OrigeneClient("https://scp.intern-ai.org.cn/api/v1/mcp/15/Origene-OpenTargets", "<your-api-key>")
await client.connect()

result = await client.session.call_tool("get_associated_targets_by_disease_efoId", arguments={"efoId": "EFO_0000400"})
print(client.parse_result(result))

await client.disconnect()

Tool: get_associated_targets_by_disease_efoId

  • Args: efoId (str) - Disease EFO ID (e.g., "EFO_0000400" for diabetes)
  • Returns: List of target genes with association scores

Use Cases

  • Drug target discovery, disease mechanism research, precision medicine

Signals

GitHub stars
167
Forks
9
Last commit
Jun 2026
Advanced
Catalog kind
skill
Gateway key
opentargets-disease-target
Source
github.com/internscience/scp