RxNorm Drug Terminology Connector for AI agents.
3 live capabilities
Standardize clinical drug names and RxCUI codes for medical software.
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Why people use RxNorm Drug Terminology
RxNorm Drug Terminology for Standardizing Clinical Drug Data
This Connector changes that by giving your AI agent a direct line to the official RxNorm database. Instead of guessing, your agent can instantly resolve those different names into a single standardized clinical term. It handles the heavy lifting of nomenclature, so you can stop worrying about typos and start working with clean, unified data. You get a reliable source of truth that keeps your software and your research accurate.
What Vinkius changes
You get instant access to official medical drug standards without manual searching.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Cleaning messy EHR data
A data scientist has a list of 10,000 patient records with varied drug names.
- Real-world use case 02
Building a pharmacy search bar
A developer wants users to find medications easily.
- Real-world use case 03
Mapping brand names for research
A researcher needs to know what ingredients are in various brand name drugs.
Complete set · 3capabilities
The complete RxNorm Drug Terminology capability set.
These are the exact actions your AI can choose when you ask it to work with RxNorm Drug Terminology.
01—03
3 capabilities in this set.
Part of 3 available through RxNorm Drug Terminology.
- 01 Capability
Get drug properties
Get all properties for a specific RxCUI. This helps you see every detail about a drug concept in one place.
- 02 Capability
Get drug spelling suggestions
Get spelling suggestions for a drug name. This is great for handling typos or ambiguous terms in messy datasets.
- 03 Capability
Get rxcui by name
Find the unique RxCUI code for any drug name. Use this to turn common names into standardized identifiers.
Set up in minutes
One URL. Then ask RxNorm Drug Terminology to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use RxNorm Drug Terminology from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KWVb5oXwHfgw7tq8cIWTwcSq4jvR58UXS1FZUYni/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it RxNorm Drug Terminology, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable RxNorm Drug Terminology for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KWVb5oXwHfgw7tq8cIWTwcSq4jvR58UXS1FZUYni/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the RxNorm Drug Terminology URL.
- Step 03
Save and start
Save the connection and enable RxNorm Drug Terminology in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"rxnorm-drug-terminology": {
"url": "https://edge.vinkius.com/vk_preview_KWVb5oXwHfgw7tq8cIWTwcSq4jvR58UXS1FZUYni/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using RxNorm Drug Terminology
Open Agent mode in chat and ask: "Using RxNorm Drug Terminology, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"rxnorm-drug-terminology": {
"url": "https://edge.vinkius.com/vk_preview_KWVb5oXwHfgw7tq8cIWTwcSq4jvR58UXS1FZUYni/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using RxNorm Drug Terminology
Ask Copilot: "Using RxNorm Drug Terminology, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"rxnorm-drug-terminology": {
"url": "https://edge.vinkius.com/vk_preview_KWVb5oXwHfgw7tq8cIWTwcSq4jvR58UXS1FZUYni/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using RxNorm Drug Terminology
Open Cascade and ask: "Using RxNorm Drug Terminology, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"rxnorm-drug-terminology": {
"url": "https://edge.vinkius.com/vk_preview_KWVb5oXwHfgw7tq8cIWTwcSq4jvR58UXS1FZUYni/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using RxNorm Drug Terminology
Ask Cline: "Using RxNorm Drug Terminology, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add rxnorm-drug-terminology --transport http "https://edge.vinkius.com/vk_preview_KWVb5oXwHfgw7tq8cIWTwcSq4jvR58UXS1FZUYni/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using RxNorm Drug Terminology
Ask Claude: "Using RxNorm Drug Terminology, show me...". 3 tools are ready
Where the request belongs
Work RxNorm can move forward.
This is for healthcare developers and data scientists who are tired of dealing with inconsistent medication names in their databases.
Healthcare Software Developer
You use this to build search bars or database entries that accurately reflect official drug names.
Clinical Data Scientist
You use this to map large datasets of medication records to standardized RxCUI codes for research.
Medical Librarian
You use this to navigate complex pharmaceutical nomenclature and maintain accurate clinical records.
Health Tech Auditor
You use this to verify that electronic health records match official terminology to ensure data integrity.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Access the NLM RxNorm database to search for drugs, retrieve RxCUIs, and inspect standardized drug properties and identifiers.
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Truepill
Manage pharmacy operations and patient records via Truepill. create patients, find records, and track prescriptions directly from any AI agent.
FDA (openFDA)
Access public health data via openFDA. search drug labeling, monitor adverse events, and track food recalls directly through your AI agent.
Clinical Reasoning Prover
Forces AI to validate clinical treatment plans against US guidelines (AHA, ACC) using real differential exclusion, explicit pharmacokinetics, and objective triage scales instead of subjective descriptors and diagnostic anchoring.
Bring your own AI
Change the model, client or framework. Keep RxNorm connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about RxNorm.
The practical details behind the request, access and result.
How does RxNorm Drug Terminology MCP help with medication lists?
It helps by converting inconsistent human-entered drug names into official, standardized clinical terms. This makes it much easier to search, filter, and analyze medication data accurately.
Can RxNorm Drug Terminology MCP find RxCUI codes?
Yes, it can retrieve the unique RxCUI identifier for any drug name or concept. This is the industry standard for mapping drugs in medical databases.
Is RxNorm Drug Terminology MCP good for healthcare software?
It is excellent for developers building health tech. It helps ensure your software speaks the same language as medical professionals by using official NLM terminology.
Does RxNorm Drug Terminology MCP work with Cursor?
Yes, it works with any MCP-compatible client, including Cursor, Claude, and Windsurf. You just connect it and your agent can start normalizing drug terms.
Can RxNorm Drug Terminology MCP handle typos in drug names?
Yes, it can provide spelling suggestions for drug names. This helps your agent understand what a user means even if they make a mistake while typing.
Can RxNorm Drug Terminology MCP map brand names to active ingredients?
Yes, it can identify the clinical concepts behind brand names. It allows your agent to see the relationship between a commercial brand and its active pharmaceutical ingredient.
What is an RxCUI?
RxCUI is the unique RxNorm Concept Unique Identifier. It is a standardized code used to uniquely identify every drug concept in the RxNorm database.
Can I resolve a brand name to its ingredients?
Yes. First use search_drug_concepts to find the RxCUI for the brand name, then your AI agent can explore the related concepts to find the active ingredients.
Does this cover over-the-counter (OTC) drugs?
Yes. RxNorm includes terminology for clinical drugs, including many common over-the-counter medications and their standardized names.
One connection away
Give your agent a direct line to RxNorm.
Connect RxNorm once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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