---
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


---
Source attribution: InternScience
Original project: https://github.com/InternScience/scp/blob/cea5398564032aea65a78e246d06c30ae945e03f/skills/opentargets-disease-target/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2024 Anthropic, PBC

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: InternScience
Original project: https://github.com/InternScience/scp/blob/cea5398564032aea65a78e246d06c30ae945e03f/skills/opentargets-disease-target/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Education & Research, Healthcare & Life Sciences, Product Management
Roles: Business Intelligence Analyst, Clinical Research, Data Scientist, Product Manager, Researcher
Specialties: API
Tools: Open Targets
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 59be28ba85087af11a1a28dcb010eca45c5eb95b7cf6408c71d671182450eb8e