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Connect HHS Open Payments to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Audit healthcare financial relationships directly from your AI client.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 6 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 6 available through HHS Open Payments.

  1. 01

    List datasets

    This capability lists all available Open Payments datasets. It provides the names and metadata for every dataset currently in the system.

  2. 02

    Get dataset

    This capability retrieves metadata for a specific Open Payments dataset. Use it to check column definitions and update timestamps.

  3. 03

    Search hospitals

    This capability searches for specific teaching hospitals. It helps you find records associated with particular medical institutions.

Capability set02 / 02

04-06

3 capabilities in this set.

Part of 6 available through HHS Open Payments.

  1. 04

    Download dataset

    This capability downloads a specific Open Payments dataset. It supports JSON, CSV, and XML formats for your external processing.

  2. 05

    Query dataset

    This capability runs SoQL queries against a specific dataset. It allows you to filter, sort, and limit records for precise data extraction.

  3. 06

    Search physicians

    This capability searches for specific physicians. It returns records tied to individual healthcare providers.

Real work

What teams actually run

01

Conflict of Interest Checks

Check if a specific physician has received payments from a drug manufacturer.

02

Industry Spending Analysis

Use SoQL to find total payments made by a specific device company in a certain state.

03

Hospital Auditing

Search for teaching hospitals to see their associated financial records.

04

Data Preparation

Download specific datasets in JSON format to feed into other analytical capabilities.

Automate a task

Put HHS Open Payments to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

HHS Open Payments works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put HHS Open Payments to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

995ms average. Fast in production.

HHS Open Payments is checked daily against the live service.

Daily averagePeak 1269ms
Oct 3Today
Fastest day
766ms
Slowest day
1269ms
14-day trend
Slowing+9%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 6 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of HHS Open Payments, so you can see the experience inside your AI.

It does not authenticate your account with HHS Open Payments. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

HHS Open Payments Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — HHS Open Payments capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "hhs-open-payments-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up HHS Open Payments in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work HHS Open Payments owners hand off.

This MCP is built for professionals who need to verify financial transparency in the medical industry.

  • 01

    Journalists

    Investigate financial ties between medical companies and doctors for reporting.

  • 02

    Compliance Officers

    Verify the accuracy of reported financial transfers within healthcare organizations.

  • 03

    Researchers

    Analyze large-scale datasets of industry payments to healthcare providers.

FAQ

Questions HHS Open Payments owners ask.

  • 01

    How do I use this MCP with Claude?

    You connect once via the Vinkius platform. Once connected, you can simply ask Claude to search for physicians or query datasets directly.

  • 02

    Do I need an API key?

    An HHS/Socrata API key is optional. Using one is recommended if you need higher rate limits for heavy querying.

  • 03

    What file formats can I download?

    You can download datasets in CSV, JSON, or XML formats.

  • 04

    Can I filter data by specific amounts?

    Yes. You can use SoQL (Socrata Query Language) through your agent to filter, sort, and limit data by any available field, including payment amounts.

  • 05

    Is the data real-time?

    The MCP accesses the official HHS Open Payments database, allowing you to pull the most current datasets available in their system.

  • 06

    Can I search for a specific doctor by name to see their financial records?

    Yes! Use the search_physicians capability with the doctor's name. The agent will return matching profiles and their associated payment data from the Open Payments database.

  • 07

    How do I filter data for a specific state or payment amount?

    You can use the query_dataset capability and provide a SoQL filter in the where parameter (e.g., recipient_state = 'NY' or total_amount_of_payment_usdollars > 1000).

  • 08

    What formats can I use to download the datasets?

    The download_dataset capability supports 'csv', 'json', and 'xml' formats. JSON is generally recommended for programmatic access and AI analysis.

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