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HHS Open Payments MCP, Ready to Go

Use the HHS Open Payments MCP with Claude or Cursor to audit healthcare financial ties and pharma payments using official government data.

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Audit healthcare financial ties and pharma payments with government data.

HHS Open Payments MCP for AI Agents

Works with every AI agent you already use

…and any MCP-compatible client

Cursor AI Code EditorClaude Desktop AppOpenAI Agents SDKVisual Studio CodeGitHub Copilot AI AgentGoogle Gemini AILovable AI DevelopmentMistral AI AgentsAmazon AWS Bedrock

How fast is the HHS Open Payments Connector?

1014ms Fast
Fast Acceptable Slow

Average time for the server to become ready for requests over the last 14 days, measured until the initialize / tools/list handshake completes. Metrics are updated daily between 00:00 and 04:00 UTC. Create a free account, use this Connector on Vinkius Cloud, and connect it to your AI agent in seconds.

Min 884ms
Average 1014ms
Max 1770ms
Trend (worsening) ↑ 12%
Daily latency
1770ms 7/12/2026
916ms 7/13/2026
909ms 7/14/2026
957ms 7/15/2026
1027ms 7/16/2026
903ms 7/17/2026
884ms 7/18/2026
910ms 7/19/2026
967ms 7/20/2026
1265ms 7/21/2026
1316ms 7/22/2026
1054ms 7/23/2026
1384ms 7/24/2026
1342ms 7/25/2026
7/12/2026 7/25/2026

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AI Agent

What AI agents can do with HHS Open Payments 6-Tool Healthcare Data Tool

Use these tools to search, query, and download government healthcare financial records directly through your AI client for faster research.

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.

Get dataset

View the metadata for a specific Open Payments dataset. This helps you understand the underlying data structure before you query it.

List datasets

See every available Open Payments dataset currently hosted in the database. Use this to find the correct ID for your research.

Query dataset

Use SoQL to filter and sort specific records based on your exact criteria. This allows for precise financial analysis of payments.

Search hospitals

Find specific teaching hospitals to see their associated financial records. It's a fast way to group payments by institution.

Search physicians

Look up individual doctors by name to uncover their payment history. This helps identify specific relationships in the medical field.

A Connector is a URL. Vinkius runs it: hosting, security, governance, observability.

You're looking at one of 5,800+ managed Connectors. The real value isn't the catalog. It's the control plane that secures, governs, audits, and manages every interaction between your agents and the tools they use.

01

No Shadow AI

Every agent action is visible, approved, and auditable. Nothing runs outside your governance.

02

Absolute agent control

Fine-grained permissions for every agent, MCP, and tool. Instantly revoke access and audit every execution.

03

Cost control per token

Spend broken down to the token, tool, and agent. Budgets and hard limits. No surprise invoices.

04

Managed & monitored infra

We operate the runtime, authentication, scaling, retries, and monitoring. Your team manages AI, not infrastructure.

05

Data protection, DLP by design

Sensitive data is filtered before reaching the model. Access is governed so agents receive only the information they're allowed to use.

06

Token optimization, real savings

Lower AI costs by delivering the right context instead of unnecessary tools. Better accuracy, faster responses, and fewer wasted tokens.

HHS Open Payments for Healthcare Transparency Audits

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.

Frequently Asked Questions

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 tool.

Is the HHS Open Payments MCP good for investigative journalism? +

It's a great tool 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 tool 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 tool 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 tool supports 'csv', 'json', and 'xml' formats. JSON is generally recommended for programmatic access and AI analysis.

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