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Connect Open Payments CMS Physician Data to your AI

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 industry financial relationships through your AI agent.

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 · 5 capabilities

We ship only the actions that matter.

Capability set01 / 02

01-03

3 capabilities in this set.

Part of 5 available through Open Payments (CMS).

  1. 01

    Search teaching hospitals

    Locate teaching hospitals by searching for their name or address.

  2. 02

    List datasets

    Retrieve a list of all available reporting cycles and payment categories in the Open Payments system.

  3. 03

    Get dataset

    Pull technical metadata and column definitions for a specific dataset.

Capability set02 / 02

04-05

2 capabilities in this set.

Part of 5 available through Open Payments (CMS).

  1. 04

    Query dataset

    Run deep searches within a dataset using SQL-like filters for specific payment records.

  2. 05

    Search physicians

    Find specific healthcare providers using their name, specialty, or NPI number.

Real work

What teams actually run

01

Conflict of Interest Audits

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

02

Market Trend Analysis

Analyze how much medical device companies spend on teaching hospitals in specific regions.

03

Provider Verification

Confirm a doctor's NPI and specialty against official federal records.

04

Regulatory Research

Pull specific reporting cycles to study changes in industry spending over time.

Automate a task

Put Open Payments (CMS) 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

Open Payments (CMS) 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 Open Payments (CMS) 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

914ms average. Fast in production.

Open Payments (CMS) is checked daily against the live service.

Daily averagePeak 1129ms
Oct 3Today
Fastest day
747ms
Slowest day
1129ms
14-day trend
Improving-21%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 5 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 Open Payments (CMS), so you can see the experience inside your AI.

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

Open Payments (CMS) Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_PFgVygzxyWx8tBYJnrB993CjxJkqslxBuj7JwmHP/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 — Open Payments (CMS) capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "open-payments-cms-physician-data-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_PFgVygzxyWx8tBYJnrB993CjxJkqslxBuj7JwmHP/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 Open Payments (CMS) in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Open Payments (CMS) owners hand off.

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

  • 01

    Compliance Officers

    They use the AI to verify financial disclosures and industry ties for medical staff.

  • 02

    Journalists and Researchers

    They task the agent with analyzing spending trends and identifying conflicts of interest.

  • 03

    Healthcare Analysts

    They use the capability to aggregate payment data and study market influence.

FAQ

Questions Open Payments (CMS) owners ask.

  • 01

    What is the Open Payments MCP?

    It is a capability that gives your AI client direct access to the CMS Open Payments database to query financial relationships between the healthcare industry and physicians.

  • 02

    Do I need an API key?

    Yes, you will need to enter your Open Payments API Key (App Token) to use this MCP.

  • 03

    Which AI clients can I use with this?

    You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 04

    Can I filter for specific payment amounts?

    Yes, you can use the query_dataset capability to perform deep dives using SQL-like filters on specific payment records.

  • 05

    What kind of data is available?

    The MCP provides access to physician details, teaching hospital information, and various reporting cycles of payment data.

  • 06

    How can I find payments for a specific doctor by their NPI?

    Use the search_physicians capability and provide the npi parameter. Your agent will return matching physician records which you can then use to query specific payment datasets.

  • 07

    Can I filter results to only show payments above a certain dollar amount?

    Yes, use the query_dataset capability with the where parameter. For example, you can set where to total_amount_of_payment_usdollars > 1000 to filter for high-value transactions.

  • 08

    How do I see what columns are available in a specific dataset?

    Use the get_dataset capability with the specific dataset_id. It will return detailed metadata, including column definitions, data types, and update frequency for that specific reporting cycle.

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