FDA Drug Risk Assessment
SkillDatabases & dataAssess drug risks and adverse effects using FDA drug database to retrieve safety information and risk profiles.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the FDA Drug Risk Assessment skill
What this skill tells your AI
The instructions your AI receives, as published by internscience/scp in skills/fda-drug-risk-assessment/SKILL.md and read by ahel’s review.
Usage
1. MCP Server Definition
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class OrigeneClient:
"""Origene-FDADrug 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.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:
print(f"✗ connect failure: {e}")
return False
async def disconnect(self):
try:
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
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. Drug Risk Assessment Workflow
Implementation:
## Initialize client
client = OrigeneClient(
"https://scp.intern-ai.org.cn/api/v1/mcp/14/Origene-FDADrug",
"<your-api-key>"
)
if not await client.connect():
print("connection failed")
exit()
## Get drug risk information
result = await client.session.call_tool(
"get_risk_info_by_drug_name",
arguments={
"drug_name": "Valsartan"
}
)
result_data = client.parse_result(result)
print(result_data)
await client.disconnect()
Tool Descriptions
Origene-FDADrug Server:
get_risk_info_by_drug_name: Retrieve FDA drug risk information- Args:
drug_name(str): FDA approved drug name
- Returns: Risk profile, adverse events, and safety data
- Args:
Use Cases
- Drug safety assessment
- Adverse effect analysis
- Pharmacovigilance
- Clinical decision support
Signals
- GitHub stars
- 167
- Forks
- 9
- Last commit
- Jun 2026
Advanced
- Catalog kind
- skill
- Gateway key
fda-drug-risk-assessment- Source
- github.com/internscience/scp