How to Use the CMS.gov Data MCP in LlamaIndex

Q: Can I run semantic search over CMS.gov Data using LlamaIndex?

Yes, by indexing the outputs of searchprovidersbyspecialty and searchdoctors. This allows your query engine to find Medicare providers based on natural language descriptions instead of strict keyword matching.

Q: Can I filter which CMS tools my LlamaIndex agent has access to?

Yes, you can use the allowedtools filter in LlamaIndex to restrict your agent's access. For example, you can limit it to searchnursinghomes and gethospitalratings if you only need facility data.

Index live Medicare provider profiles and hospital ratings directly into your LlamaIndex vector store.

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Connect CMS.gov Data MCP to LlamaIndex

Create your Vinkius account to connect CMS.gov Data to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CMS.gov Data with LlamaIndex

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Build CMS.gov Data RAG pipelines in LlamaIndex

`get_hospital_ratings` extracts quality metrics and emergency service availability for hospitals across any US state. Your LlamaIndex pipeline indexes these ratings directly into your vector store, combining real-time API data with your private documents. This prevents your agent from hallucinating hospital scores or location details. By grounding your query engine in actual live data, your RAG system answers questions with absolute accuracy.

Index provider specialties for semantic search

`search_providers_by_specialty` retrieves active Medicare clinicians based on their specific field of medicine. LlamaIndex takes this raw tool output and structures it into document nodes, making provider directories searchable via semantic queries. Your agent can then cross-reference these nodes with `get_doctor_by_npi` to build a localized directory. This turns static API responses into a dynamic, queryable knowledge base.

Query Medicare dataset catalogs with this MCP Server

`list_datasets` fetches the latest open data files, which your indexing pipeline reads to update its knowledge base. The agent uses `get_dataset_metadata` to verify modification dates before updating old vector index entries. Connecting this MCP Server to your index means your agent always works with current information. You no longer have to manually download and parse massive CSV files from the government portal.

Setup guide

Set up CMS.gov Data MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all CMS.gov Data MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to CMS.gov Data tools.",
)
response = await agent.run("List recent CMS.gov Data data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CMS.gov Data. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about CMS.gov Data MCP in LlamaIndex

You use the McpToolSpec with our BasicMCPClient to convert tools like `get_hospital_ratings` into LlamaIndex tools. The agent executes these tools and writes the resulting provider data directly into your document index.

Yes, by indexing the outputs of `search_providers_by_specialty` and `search_doctors`. This allows your query engine to find Medicare providers based on natural language descriptions instead of strict keyword matching.

It provides live, verified data directly from the Centers for Medicare & Medicaid Services. Tools like `get_doctor_by_npi` return exact enrollment statuses, ensuring your agent relies on real data instead of guessing.

Yes, you can use the allowed_tools filter in LlamaIndex to restrict your agent's access. For example, you can limit it to `search_nursing_homes` and `get_hospital_ratings` if you only need facility data.

All queries to this MCP Server run in our secure, isolated V8 sandbox. We handle the endpoint authentication securely, and no sensitive provider or facility search terms are ever cached on our servers.

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