NDC stands for National Drug Code. It is a unique 10-digit or 11-digit, 3-segment number used in the US to identify human drugs.

Can I search for labels by generic name?

Yes! The `search_drug_labels` tool accepts drug names, which can be either brand names or generic names. It will return all matching official labels.

Does this include the history of packaging changes?

Yes. The `get_ndc_history` tool specifically retrieves the record of changes and updates associated with a particular National Drug Code.

DailyMed Drug Labels MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes

Name: DailyMed Drug Labels
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 3 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect DailyMed Drug Labels through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="DailyMed Drug Labels Assistant",
            instructions=(
                "You help users interact with DailyMed Drug Labels. "
                "You have access to 3 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from DailyMed Drug Labels"
        )
        print(result.final_output)

asyncio.run(main())

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About DailyMed Drug Labels MCP Server

Equip your AI agent with the official source for FDA-published drug labels through the DailyMed MCP server. This integration provides real-time access to the National Library of Medicine's (NLM) database of Structured Product Labeling (SPL). Your agent can search for drug labels by name, retrieve detailed packaging information (including NDC codes and NDC history), and explore official prescribing information. Whether you are auditing medication packaging, researching regulatory labeling history, or verifying NDC identifiers, your agent acts as a dedicated regulatory specialist through natural conversation.

The OpenAI Agents SDK auto-discovers all 3 tools from DailyMed Drug Labels through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries DailyMed Drug Labels, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Label Search — Find official FDA drug labels by medication name or keyword.
NDC Lookup — Retrieve detailed packaging and labeling information for specific NDC codes.
History Tracking — Explore the historical records of NDC changes and packaging updates.
Packaging Auditing — Summarize official packaging details for pharmaceutical inventory and compliance.

The DailyMed Drug Labels MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DailyMed Drug Labels to OpenAI Agents SDK via MCP

Follow these steps to integrate the DailyMed Drug Labels MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 3 tools from DailyMed Drug Labels

Why Use OpenAI Agents SDK with the DailyMed Drug Labels MCP Server

OpenAI Agents SDK provides unique advantages when paired with DailyMed Drug Labels through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

DailyMed Drug Labels + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the DailyMed Drug Labels MCP Server delivers measurable value.

Automated workflows: build agents that query DailyMed Drug Labels, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries DailyMed Drug Labels, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through DailyMed Drug Labels tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query DailyMed Drug Labels to resolve tickets, look up records, and update statuses without human intervention

DailyMed Drug Labels MCP Tools for OpenAI Agents SDK (3)

These 3 tools become available when you connect DailyMed Drug Labels to OpenAI Agents SDK via MCP:

get_drug_details

Get detailed info for a drug

list_drug_classes

List drug classes

search_drugs

Search for drugs by name

Example Prompts for DailyMed Drug Labels in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with DailyMed Drug Labels immediately.

"Search for official FDA labels for 'metformin'."

"Get packaging details for NDC '0002-3227-30'."

"Show me the history of changes for NDC '0006-0910-28'."

Troubleshooting DailyMed Drug Labels MCP Server with OpenAI Agents SDK

Common issues when connecting DailyMed Drug Labels to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

DailyMed Drug Labels + OpenAI Agents SDK FAQ

Common questions about integrating DailyMed Drug Labels MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.