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How to Use the HealthData.gov (HHS Open Data) MCP in Claude

Run HHS open data queries directly from your Claude Desktop chat to analyze US healthcare datasets.

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Connect HealthData.gov (HHS Open Data) MCP to Claude Desktop

Create your Vinkius account to connect HealthData.gov (HHS Open Data) to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Browse HHS datasets inside Claude Desktop

The `get_catalog` tool lets your agent search the entire HealthData.gov directory from your Claude Desktop chat window. Instead of manual browser searches, you ask your agent to find specific databases on hospital capacity or Medicare spending. This MCP Server converts your natural language requests into direct catalog searches. Your agent retrieves unique dataset identifiers, metadata, and update frequencies to target the exact health metrics you need.

Run SoQL queries in your chat window

The `query_dataset` tool executes Socrata Query Language (SoQL) commands against live HealthData.gov databases directly from Claude Desktop. You filter, group, and aggregate public health records without writing custom Python fetch scripts. Your agent runs complex SQL-like filters to isolate specific state metrics or hospital facilities. It formats the raw JSON payload into clean tables right inside your desktop workspace.

Zero-setup data pipelines in Claude Desktop

The `get_catalog` tool initiates your health data research by pinpointing active HHS data tables without leaving the app. You skip API registration hurdles because this MCP Server handles the connection protocol in the background. Combining catalog discovery with `query_dataset` lets you build local data pipelines. Your agent pulls raw public health statistics and writes them directly to local CSV files using your desktop filesystem permissions.

Setup guide

Set up HealthData.gov (HHS Open Data) MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The HealthData.gov (HHS Open Data) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

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Common questions about HealthData.gov (HHS Open Data) MCP in Claude Desktop

You ask your agent to run a query. This MCP Server translates your prompt into a SoQL call via `query_dataset`, fetching the exact rows of public health data you requested directly into your chat.
Yes, the desktop app calls `get_catalog` to find specific dataset IDs. Your agent parses the metadata to find the right table before running any deep queries.
Use this MCP Server to run filtered SoQL queries. Your agent runs `query_dataset` to pull only the columns you need, avoiding massive file downloads.
Ask your agent to apply a SoQL filter. It uses `query_dataset` to isolate state codes, returning only the relevant regional health metrics you asked for.
This server only touches public HHS datasets like hospital capacity and provider directories. Your queries run through a secure V8 sandbox, and no private patient data is ever accessed or stored.

Start using the HealthData.gov (HHS Open Data) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 2 tools

We've already built the connector for HealthData.gov (HHS Open Data). Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 2 tools are live and waiting. You're up and running in seconds.

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