4,000+ servers built on vurb.ts
Vinkius

HealthData.gov (HHS Open Data) MCP Server for LlamaIndexGive LlamaIndex instant access to 2 tools to Get Catalog and Query Dataset

MCP Inspector GDPR Free for Subscribers

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

Ask AI about this MCP Server for LlamaIndex

The HealthData.gov (HHS Open Data) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 2 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
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 HealthData.gov (HHS Open Data). "
            "You have 2 tools available."
        ),
    )

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

asyncio.run(main())
HealthData.gov (HHS Open Data)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About HealthData.gov (HHS Open Data) MCP Server

Connect your AI agent to HealthData.gov, the central clearinghouse for open data from the U.S. Department of Health & Human Services (HHS). This MCP server empowers your agent to discover and analyze vast amounts of public health, social service, and Medicare/Medicaid data.

LlamaIndex agents combine HealthData.gov (HHS Open Data) tool responses with indexed documents for comprehensive, grounded answers. Connect 2 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

  • Catalog Discovery — Search and list thousands of available datasets, views, and resources across the entire HHS ecosystem.
  • Deep Data Querying — Use Socrata Query Language (SoQL) to filter, sort, and aggregate data from specific datasets (e.g., hospital capacity, COVID-19 statistics, or provider directories).
  • Precision Filtering — Apply complex $where, $select, and $order parameters to extract exactly the records you need without downloading massive files.
  • Real-time Research — Fetch the latest updates on public health metrics directly into your conversation for immediate analysis.

The HealthData.gov (HHS Open Data) MCP Server exposes 2 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 2 HealthData.gov (HHS Open Data) tools available for LlamaIndex

When LlamaIndex connects to HealthData.gov (HHS Open Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, public-health, datasets, 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.

get

Get catalog on HealthData.gov (HHS Open Data)

Get catalog of datasets from HealthData.gov

query

Query dataset on HealthData.gov (HHS Open Data)

g., 6xf2-c3ie) and SoQL parameters. Query a specific dataset on HealthData.gov using SoQL

Connect HealthData.gov (HHS Open Data) to LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 2 tools from HealthData.gov (HHS Open Data)

Why Use LlamaIndex with the HealthData.gov (HHS Open Data) MCP Server

LlamaIndex provides unique advantages when paired with HealthData.gov (HHS Open Data) through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine HealthData.gov (HHS Open Data) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain HealthData.gov (HHS Open Data) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query HealthData.gov (HHS Open Data), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what HealthData.gov (HHS Open Data) tools were called, what data was returned, and how it influenced the final answer

HealthData.gov (HHS Open Data) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the HealthData.gov (HHS Open Data) MCP Server delivers measurable value.

01

Hybrid search: combine HealthData.gov (HHS Open Data) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query HealthData.gov (HHS Open Data) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying HealthData.gov (HHS Open Data) for fresh data

04

Analytical workflows: chain HealthData.gov (HHS Open Data) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for HealthData.gov (HHS Open Data) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with HealthData.gov (HHS Open Data) immediately.

01

"Search the HealthData.gov catalog for datasets related to 'COVID-19 hospitalizations'."

02

"Query dataset '6xf2-c3ie' to show the top 5 states with the highest adult ICU utilization."

03

"List the first 10 datasets available in the health catalog."

Troubleshooting HealthData.gov (HHS Open Data) MCP Server with LlamaIndex

Common issues when connecting HealthData.gov (HHS Open Data) to LlamaIndex through Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

HealthData.gov (HHS Open Data) + LlamaIndex FAQ

Common questions about integrating HealthData.gov (HHS Open Data) MCP Server with LlamaIndex.

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query HealthData.gov (HHS Open Data) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

Explore More MCP Servers

View all →