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FDA (openFDA) MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect FDA (openFDA) through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to FDA (openFDA) "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in FDA (openFDA)?"
    )
    print(result.data)

asyncio.run(main())
FDA (openFDA)
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About FDA (openFDA) MCP Server

Connect to the openFDA public database through any AI agent and gain instant access to thousands of datasets regarding drugs, food, and medical devices.

Pydantic AI validates every FDA (openFDA) tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Drug Intelligence — Search official FDA drug labels, NDC directories, and monitor real-time drug shortages flawlessly
  • Safety Monitoring — Query adverse event reports for drugs, foods, and medical devices to analyze public health trends natively
  • Compliance Tracking — List recall enforcement reports to stay informed about hazardous food or drug products in circulation
  • Regulatory Insights — Access Drugs@FDA metadata including approvals, therapeutic equivalents, and manufacturer details
  • Medical Device Data — Search device classifications and enforcement actions to verify product safety synchronously
  • Public Data Access — Retrieve raw structured data from the official U.S. Food and Drug Administration API without complex manual exports

The FDA (openFDA) MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI 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 FDA (openFDA) to Pydantic AI via MCP

Follow these steps to integrate the FDA (openFDA) MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from FDA (openFDA) with type-safe schemas

Why Use Pydantic AI with the FDA (openFDA) MCP Server

Pydantic AI provides unique advantages when paired with FDA (openFDA) through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your FDA (openFDA) integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your FDA (openFDA) connection logic from agent behavior for testable, maintainable code

FDA (openFDA) + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the FDA (openFDA) MCP Server delivers measurable value.

01

Type-safe data pipelines: query FDA (openFDA) with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple FDA (openFDA) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query FDA (openFDA) and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock FDA (openFDA) responses and write comprehensive agent tests

FDA (openFDA) MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect FDA (openFDA) to Pydantic AI via MCP:

01

get_drug_shortages

Get current and resolved drug shortages

02

get_usage

Get current API usage and rate limit info

03

search_device_adverse_events

Search for adverse event reports for medical devices

04

search_device_classification

Search for medical device classifications

05

search_device_enforcement

Search for medical device recall enforcement reports

06

search_drug_adverse_events

Search for adverse event reports for drugs

07

search_drug_approvals

Search for FDA-approved brand name and generic drugs

08

search_drug_enforcement

Search for drug recall enforcement reports

09

search_drug_labels

Search for FDA drug product labeling

10

search_food_adverse_events

Search for adverse event reports for foods

11

search_food_enforcement

Search for food recall enforcement reports

12

search_ndc

Search the National Drug Code directory

Example Prompts for FDA (openFDA) in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with FDA (openFDA) immediately.

01

"Search for adverse events reported for Ibuprofen."

02

"Are there any recent food recalls in New York?"

03

"Show me the label information for Advil."

Troubleshooting FDA (openFDA) MCP Server with Pydantic AI

Common issues when connecting FDA (openFDA) to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

FDA (openFDA) + Pydantic AI FAQ

Common questions about integrating FDA (openFDA) MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your FDA (openFDA) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect FDA (openFDA) to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.