Installable skillMIT

Open Targets Disease-Target Association

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

BY InternScienceUPDATED Oct 27, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.

instructions.md

---
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", "<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
COMPATIBILITY & REFERENCES

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.