HealthCare.gov MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add HealthCare.gov 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
Vinkius supports streamable HTTP and SSE.
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 HealthCare.gov. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in HealthCare.gov?"
)
print(response)
asyncio.run(main())
* 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 HealthCare.gov MCP Server
Connect the HealthCare.gov Marketplace API to any AI agent and take full control of ACA health plan research and provider network verification through natural conversation.
LlamaIndex agents combine HealthCare.gov tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Plan Search — Retrieve available health and dental plans based on household demographics and location.
- Drug Coverage — Search for medications and verify if they are covered by specific plans and at what tier.
- Provider Lookup — Search for doctors, hospitals, and facilities and check their in-network status.
- Geography Insights — Retrieve County FIPS codes by ZIP code to ensure accurate regional pricing.
- Issuer Details — List all insurance companies operating in specific states and their available plans.
- Crosswalk Access — Monitor plan transitions between enrollment years to stay updated on coverage changes.
The HealthCare.gov MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect HealthCare.gov to LlamaIndex via MCP
Follow these steps to integrate the HealthCare.gov MCP Server with LlamaIndex.
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 11 tools from HealthCare.gov
Why Use LlamaIndex with the HealthCare.gov MCP Server
LlamaIndex provides unique advantages when paired with HealthCare.gov through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine HealthCare.gov tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain HealthCare.gov tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query HealthCare.gov, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what HealthCare.gov tools were called, what data was returned, and how it influenced the final answer
HealthCare.gov + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the HealthCare.gov MCP Server delivers measurable value.
Hybrid search: combine HealthCare.gov real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query HealthCare.gov 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 HealthCare.gov for fresh data
Analytical workflows: chain HealthCare.gov queries with LlamaIndex's data connectors to build multi-source analytical reports
HealthCare.gov MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect HealthCare.gov to LlamaIndex via MCP:
get_api_metadata
Retrieve metadata about the Marketplace API data
get_counties_by_zip
Retrieve County FIPS codes for a given ZIP code
get_drug_coverage
Check if a medication is covered by a specific plan
get_plan_crosswalk
Get information about plan transitions between years
get_plan_details
Get detailed information about a specific health plan
get_provider_coverage
Verify if a provider is in-network for a specific plan
list_issuers
List insurance issuers operating in a specific state
list_market_states
List states served by the Marketplace
search_drugs
Search for medications in the Marketplace drug database
search_plans
Pass household and place as JSON strings. Search for health and dental plans in the Marketplace
search_providers
Search for healthcare providers (doctors, facilities)
Example Prompts for HealthCare.gov in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with HealthCare.gov immediately.
"Search for health plans in ZIP code 22102."
"Check if 'Lipitor' is covered by plan ID 12345VA001."
"List all insurance companies operating in Virginia."
Troubleshooting HealthCare.gov MCP Server with LlamaIndex
Common issues when connecting HealthCare.gov to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpHealthCare.gov + LlamaIndex FAQ
Common questions about integrating HealthCare.gov MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect HealthCare.gov with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HealthCare.gov to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
