--- name: opentargets-disease-target description: Retrieve disease-associated targets from Open Targets using disease EFO IDs to identify therapeutic targets. license: MIT license metadata: skill-author: PJLab --- # Open Targets Disease-Target Association ## Usage ```python 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", "") 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