HHS Open Payments Connector for AI agents.
6 live capabilities
Audit healthcare financial ties and pharma payments with government data.
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Why people use HHS Open Payments
HHS Open Payments for Healthcare Transparency Audits
This Connector lets you just ask your agent to do the work. You can find a hospital, check its payments, and see the totals in a few seconds. You get the answers without the spreadsheet headache.
What Vinkius changes
You get instant access to government healthcare records without manual searching.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Tracking Pharma Influence
A journalist wants to see which pharma companies paid the most to doctors in Florida.
- Real-world use case 02
Regulatory Compliance Check
A compliance officer needs to verify if a hospital's payments match reported figures.
- Real-world use case 03
Medical Research Mapping
A researcher is mapping the financial relationship between drug makers and teaching hospitals.
Complete set · 6capabilities
The complete HHS Open Payments capability set.
These are the exact actions your AI can choose when you ask it to work with HHS Open Payments.
01—03
3 capabilities in this set.
Part of 6 available through HHS Open Payments.
- 01 Capability
List datasets
See every available Open Payments dataset currently hosted in the database. Use this to find the correct ID for your research.
- 02 Capability
Download dataset
Pull a specific Open Payments dataset in CSV, JSON, or XML format for your own local analysis. This is useful for keeping your own records updated.
- 03 Capability
Get dataset
View the metadata for a specific Open Payments dataset. This helps you understand the underlying data structure before you query it.
04—06
3 capabilities in this set.
Part of 6 available through HHS Open Payments.
- 04 Capability
Query dataset
Use SoQL to filter and sort specific records based on your exact criteria. This allows for precise financial analysis of payments.
- 05 Capability
Search physicians
Look up individual doctors by name to uncover their payment history. This helps identify specific relationships in the medical field.
- 06 Capability
Search hospitals
Find specific teaching hospitals to see their associated financial records. It's a fast way to group payments by institution.
Set up in minutes
One URL. Then ask HHS Open Payments to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use HHS Open Payments from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it HHS Open Payments, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable HHS Open Payments for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the HHS Open Payments URL.
- Step 03
Save and start
Save the connection and enable HHS Open Payments in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"hhs-open-payments": {
"url": "https://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using HHS Open Payments
Open Agent mode in chat and ask: "Using HHS Open Payments, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"hhs-open-payments": {
"url": "https://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using HHS Open Payments
Ask Copilot: "Using HHS Open Payments, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"hhs-open-payments": {
"url": "https://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using HHS Open Payments
Open Cascade and ask: "Using HHS Open Payments, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"hhs-open-payments": {
"url": "https://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using HHS Open Payments
Ask Cline: "Using HHS Open Payments, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add hhs-open-payments --transport http "https://edge.vinkius.com/vk_preview_7u23vXwhxnAQUVTHtJVGNkWOGXYiG0Rpr2DQtEqC/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using HHS Open Payments
Ask Claude: "Using HHS Open Payments, show me...". 6 tools are ready
Where the request belongs
Work HHS Open Payments can move forward.
This is for researchers, journalists, and compliance officers who need to track money in the medical industry without manual spreadsheet work.
Investigative Journalist
Uses the Connector to find hidden financial ties between pharmaceutical companies and local doctors for a news story.
Compliance Officer
Checks reported financial transfers within a healthcare organization to ensure they meet regulatory standards.
Healthcare Researcher
Analyzes large datasets to map out the influence of medical device manufacturers on teaching hospitals.
Patient Advocate
Verifies if their primary care provider has received significant funding from a specific drug manufacturer.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsOpen Payments (CMS Physician Data)
Query official CMS Open Payments data to analyze financial relationships between the healthcare industry, physicians, and teaching hospitals.
CMS.gov Data
Access public healthcare data from the Centers for Medicare & Medicaid Services, including provider information.
HealthData.gov (HHS Open Data)
Access and query thousands of U.S. health datasets from HHS. browse the catalog and perform deep data analysis via SoQL.
OpenGov
Access OpenGov data directly—list reports, query financial funds, and manage users or departments through your AI agent.
Blackbaud
Manage constituents, gifts, and academic data via Blackbaud. handle fundraising and education management directly from your AI agent.
Optum Eligibility
Verify patient active healthcare coverage, extract deductibles, and run real-time UHG demographics.
Bring your own AI
Change the model, client or framework. Keep HHS Open Payments connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about HHS Open Payments.
The practical details behind the request, access and result.
What does the HHS Open Payments MCP actually do?
It connects your AI client to the government's public database of healthcare payments. This allows you to search for financial ties between pharma companies and doctors or hospitals directly through your agent.
Can I use the HHS Open Payments MCP to find specific doctors?
Yes, you can use it to search for physicians by name to see their reported financial ties. This is great for checking for potential conflicts of interest.
Does the HHS Open Payments MCP include private patient info?
No, it only contains public financial records about payments from drug and device companies. It does not contain any private medical records or patient health information.
How does the HHS Open Payments MCP help with research?
It allows you to query large datasets to find patterns in healthcare spending. You can filter by amount, location, or provider to gather data for reports or audits.
Can I export data using the HHS Open Payments MCP?
Yes, you can download specific datasets in formats like CSV or JSON for your own use. This is perfect if you need to move the data into your own spreadsheet or analysis capability.
Is the HHS Open Payments MCP good for investigative journalism?
It's a great capability for uncovering financial relationships between the medical industry and healthcare providers. It helps you find the facts quickly without manual data hunting.
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.
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).
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.
One connection away
Give your agent a direct line to HHS Open Payments.
Connect HHS Open Payments once. Keep it beside 5,900+ managed Connectors when the next task needs more.
Explore every Connector No credit card required · Free tier available