How to Use the NLM RxNorm (Drug Database) MCP in LlamaIndex

Q: How do I connect the NLM RxNorm (Drug Database) MCP Server to LlamaIndex?

Install llama-index-tools-mcp. Set up a BasicMCPClient, wrap it in McpToolSpec, and pass the async tool list to your FunctionAgent.

Q: Can LlamaIndex embed the outputs from the NLM RxNorm (Drug Database)?

Yes. You execute getclassmembers, take the list of drugs returned, and index them into your vector store for semantic search.

Q: Can I filter which drug tools the agent uses?

You pass an allowedtools list to the spec. This restricts the agent to specific endpoints like findrxcuibystring while ignoring the rest.

Index standardized medication data directly into your LlamaIndex vector store using real-time RxNorm lookups.

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Connect NLM RxNorm (Drug Database) MCP to LlamaIndex

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Setup NLM RxNorm (Drug Database) with LlamaIndex

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Embed drug properties into LlamaIndex

`get_all_properties` pulls the exact clinical definitions for any RxNorm concept. Your LlamaIndex application takes this structured JSON and indexes it directly into your vector store. Instead of relying on static, outdated medication PDFs, your RAG pipeline queries the live NIH database. When a user asks about a specific drug, the system searches the freshly embedded properties rather than guessing.

Build semantic graphs of drug relations

`get_related_by_relationship` extracts the specific connections between ingredients, brand names, and dosages. You feed these relationships into a LlamaIndex property graph. If a user queries alternative medications, the agent runs `get_all_related_info` and embeds the output. The RAG system now understands that Lipitor and atorvastatin are the same concept, preventing duplicate answers.

Check NDC status via this MCP Server

`get_ndc_status` and `get_rxcui_history_status` tell your agent if a specific drug code is currently active, deprecated, or remapped. The MCP server fetches this history straight from the source. You index these status changes. When your RAG application builds a response about medication availability, it filters out deprecated NDCs based on the live historical data it just retrieved.

Setup guide

Set up NLM RxNorm (Drug Database) 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 NLM RxNorm (Drug Database) 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 NLM RxNorm (Drug Database) tools.",
)
response = await agent.run("List recent NLM RxNorm (Drug Database) 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 NLM RxNorm. 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 NLM RxNorm (Drug Database) MCP in LlamaIndex

Install `llama-index-tools-mcp`. Set up a `BasicMCPClient`, wrap it in `McpToolSpec`, and pass the async tool list to your `FunctionAgent`.

Yes. You execute `get_class_members`, take the list of drugs returned, and index them into your vector store for semantic search.

It replaces hallucinated drug data with live NIH facts. Your agent queries the MCP server for exact RxCUIs instead of guessing chemical names.

You pass an `allowed_tools` list to the spec. This restricts the agent to specific endpoints like `find_rxcui_by_string` while ignoring the rest.

The server only transmits medication names, NDCs, and RxCUIs. No patient records or clinical notes are sent to the NIH API when your RAG system runs a query.

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