CMS.gov Data MCP Server for Pydantic AIGive Pydantic AI instant access to 8 tools to Get Dataset Metadata, Get Doctor By Npi, Get Hospital Ratings, and more

Name: CMS.gov Data
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The CMS.gov Data MCP Server for Pydantic AI is a standout in the Brain Trust category — giving your AI agent 8 tools to work with, ready to go from day one.

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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 CMS.gov Data "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in CMS.gov Data?"
    )
    print(result.data)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CMS.gov Data MCP Server

Connect to the Centers for Medicare & Medicaid Services (CMS) open data platform and query the US government's most comprehensive healthcare database.

Pydantic AI validates every CMS.gov Data tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through 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

Provider Search — Search 2.4 million+ Medicare-enrolled doctors and clinicians by name, specialty, or location, with NPI numbers and practice addresses
Hospital Intelligence — Query hospital quality star ratings (1-5), types (Acute Care, Critical Access), and emergency services availability across all 50 states
Nursing Home Lookup — Search skilled nursing facilities and long-term care homes with quality ratings and provider details
Open Data Catalog — Browse and retrieve metadata from hundreds of CMS open datasets covering Medicare utilization, prescription drugs, and healthcare spending

The CMS.gov Data MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 CMS.gov Data tools available for Pydantic AI

When Pydantic AI connects to CMS.gov Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-health, medicaid, provider-data, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get dataset metadata on CMS.gov Data

Returns the dataset title, full description, publication date, last modification date, and publisher information. Use the dataset ID obtained from list_datasets. Get detailed metadata for a specific CMS dataset

get

Get doctor by npi on CMS.gov Data

Returns the provider's full name, primary and secondary specialties, practice address, city, state, ZIP code, and Medicare enrollment status. NPI is a unique 10-digit number (e.g. "1234567890"). Get detailed provider information by NPI number

get

Get hospital ratings on CMS.gov Data

Filter by US state code (e.g. "CA", "NY", "TX") to see hospitals in that state. Returns overall ratings (1-5 stars), hospital type, and emergency services. Without a state filter, returns top-rated hospitals nationwide. Get hospital quality ratings, optionally by state

list

List datasets on CMS.gov Data

gov. Returns dataset identifiers, titles, descriptions, publication dates, and last-modified timestamps. The CMS data catalog includes datasets on Medicare utilization, hospital quality measures, provider enrollment, prescription drugs, and more. List available CMS open data datasets

Search doctors on CMS.gov Data

Accepts names, specialties, cities, or states. Returns NPI numbers, full names, primary specialty, practice addresses, and Medicare enrollment IDs. The database covers 2.4 million+ active providers across the United States. Search for doctors and clinicians enrolled in Medicare

Search hospitals on CMS.gov Data

Accepts hospital names, cities, or states. Returns provider IDs, hospital names, types (Acute Care, Critical Access, etc.), overall quality ratings (1-5 stars), locations, and emergency services availability. Search for hospitals by name or location

Search nursing homes on CMS.gov Data

Returns facility names, provider IDs, locations, and overall quality ratings. Useful for finding elder care facilities in a specific area. Search nursing homes and long-term care facilities

Search providers by specialty on CMS.gov Data

Examples: "Cardiology", "Internal Medicine", "Orthopedic Surgery", "Family Practice", "Dermatology", "Psychiatry". Returns matching providers with their NPI, name, practice location, and enrollment details. Search for healthcare providers by medical specialty

Connect CMS.gov Data to Pydantic AI via MCP

Follow these steps to wire CMS.gov Data into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 8 tools from CMS.gov Data with type-safe schemas

Why Use Pydantic AI with the CMS.gov Data MCP Server

Pydantic AI provides unique advantages when paired with CMS.gov Data through the Model Context Protocol.

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

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CMS.gov Data integration code

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

Dependency injection system cleanly separates your CMS.gov Data connection logic from agent behavior for testable, maintainable code

CMS.gov Data + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the CMS.gov Data MCP Server delivers measurable value.

Type-safe data pipelines: query CMS.gov Data with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple CMS.gov Data tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query CMS.gov Data and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock CMS.gov Data responses and write comprehensive agent tests

Example Prompts for CMS.gov Data in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with CMS.gov Data immediately.

"Search for cardiologists in New York using CMS.gov data."

"List top-rated hospitals in California according to CMS data."

"Get details for the provider with NPI 1234567890 from CMS."

Troubleshooting CMS.gov Data MCP Server with Pydantic AI

Common issues when connecting CMS.gov Data to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CMS.gov Data + Pydantic AI FAQ

Common questions about integrating CMS.gov Data MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your CMS.gov Data MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.