HHS Open Payments MCP Server for LlamaIndexGive LlamaIndex instant access to 6 tools to Download Dataset, Get Dataset, List Datasets, and more

Name: HHS Open Payments
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HHS Open Payments as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The HHS Open Payments MCP Server for LlamaIndex is a standout in the Government Public Data category — giving your AI agent 6 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to HHS Open Payments. "
            "You have 6 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in HHS Open Payments?"
    )
    print(response)

asyncio.run(main())

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About HHS Open Payments MCP Server

Connect to the HHS Open Payments database to explore financial transparency in healthcare. This server allows you to query datasets, search for specific physicians or teaching hospitals, and analyze payments made by drug and device companies.

LlamaIndex agents combine HHS Open Payments tool responses with indexed documents for comprehensive, grounded answers. Connect 6 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Dataset Discovery — List all available Open Payments datasets and inspect their metadata, including column definitions and update timestamps.
Physician & Hospital Search — Search for specific healthcare providers or teaching hospitals by name to find their associated records.
Advanced Querying — Use Socrata Query Language (SoQL) to filter, sort, and limit data for precise financial analysis.
Data Export — Download specific datasets in CSV, JSON, or XML formats for external processing or reporting.
Metadata Inspection — Fetch detailed information about specific datasets to understand the underlying data structure.

The HHS Open Payments MCP Server exposes 6 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 HHS Open Payments tools available for LlamaIndex

When LlamaIndex connects to HHS Open Payments through Vinkius, your AI agent gets direct access to every tool listed below — spanning financial-transparency, healthcare-data, compliance, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

download

Download dataset on HHS Open Payments

JSON is recommended for programmatic access. Download a specific Open Payments dataset

get

Get dataset on HHS Open Payments

Get metadata for a specific Open Payments dataset

list

List datasets on HHS Open Payments

List all available Open Payments datasets

query

Query dataset on HHS Open Payments

Query specific records within a dataset using SoQL

Search hospitals on HHS Open Payments

Search for specific teaching hospitals

Search physicians on HHS Open Payments

Search for specific physicians

Connect HHS Open Payments to LlamaIndex via MCP

Follow these steps to wire HHS Open Payments into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 6 tools from HHS Open Payments

Why Use LlamaIndex with the HHS Open Payments MCP Server

LlamaIndex provides unique advantages when paired with HHS Open Payments through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine HHS Open Payments tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain HHS Open Payments tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query HHS Open Payments, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what HHS Open Payments tools were called, what data was returned, and how it influenced the final answer

HHS Open Payments + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the HHS Open Payments MCP Server delivers measurable value.

Hybrid search: combine HHS Open Payments real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query HHS Open Payments to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying HHS Open Payments for fresh data

Analytical workflows: chain HHS Open Payments queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for HHS Open Payments in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with HHS Open Payments immediately.

"List all available Open Payments datasets."

"Search for physicians named 'Gregory House' in the database."

"Query dataset pgaw-6u8r for payments in Florida where the amount is over $5,000."

Troubleshooting HHS Open Payments MCP Server with LlamaIndex

Common issues when connecting HHS Open Payments to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

HHS Open Payments + LlamaIndex FAQ

Common questions about integrating HHS Open Payments MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query HHS Open Payments tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.