# DailyMed Drug Labels MCP MCP > DailyMed Drug Labels provides direct access to official FDA labels and packaging data from the National Library of Medicine (NLM). Use your AI client to search for drugs by name, check specific NDC codes, or track historical changes in drug labeling. It’s a regulatory specialist built into your workflow. ## Overview - **Category:** knowledge-management - **Price:** Free - **Tags:** fda-labels, drug-information, pharmaceuticals, medical-data, compliance ## Description This MCP gives your agent immediate access to the NLM's Structured Product Labeling (SPL) database, which holds official FDA-published drug labels. Instead of searching through fragmented websites, you let your AI client talk directly to the source. You can ask it to search for labels using a medication name or look up detailed packaging facts just from an NDC code. If you need to verify compliance or audit inventory, you can also have it trace the history of specific drug codes. Connecting this via Vinkius lets you bring that regulatory intelligence into any compatible AI client, making your agent act like a dedicated pharmaceutical specialist. ## Tools ### get_drug_details Retrieves detailed and specific information about a given medication. ### list_drug_classes Provides a list of recognized drug classification groups. ### search_drugs Searches the database using common names or keywords to find relevant drugs. ## Prompt Examples **Prompt:** ``` Search for official FDA labels for 'metformin'. ``` **Response:** ``` Searching DailyMed... I've found several official labels for Metformin from various manufacturers. Would you like to see the specific NDC codes or prescribing information for one of them? ``` **Prompt:** ``` Get packaging details for NDC '0002-3227-30'. ``` **Response:** ``` Retrieving NDC details... This code refers to Prozac (Fluoxetine) 20mg capsules in a 30-count bottle. The labeler is Eli Lilly and Company. I can provide the full history of this NDC if you need. ``` **Prompt:** ``` Show me the history of changes for NDC '0006-0910-28'. ``` **Response:** ``` Fetching historical records... I've retrieved the update history for this NDC. It includes changes to the packaging layout and updates to the prescribing information over the last 5 years. Would you like a summary of the most recent change? ``` ## Capabilities ### Find drugs by name The MCP searches for official FDA labels using common drug names or keywords. ### Get specific labeling details It retrieves detailed packaging and labeling information when you provide a complete NDC code. ### Track regulatory history You can explore the historical changes to an NDC code, including updates to packaging or prescribing info. ## Use Cases ### Verifying an old shipment batch A logistics manager needs to know if a drug labeled five years ago is still compliant. They ask the agent to show the history of changes for that specific NDC code, which uses historical tracking functions. ### Researching a new compound's labels A computational biologist wants to compare labeling standards across several drugs in one class. The agent first runs `list_drug_classes` and then uses that scope to run targeted searches for multiple compounds. ### Quickly summarizing prescribing info A healthcare provider needs the full, official details for a drug they rarely use. They ask the agent to get drug details by name, bypassing the need to manually cross-reference internal guidelines with federal sources. ### Validating data for a new application A health tech developer needs structured labels to build an app feature. The agent pulls accurate drug information and uses it in code, validating the schema before deployment. ## Benefits - Instead of reading PDF manuals, you simply ask your agent to find drug labels by name using `search_drugs`. It pulls the official record instantly. - You eliminate guesswork when auditing inventory. Use `get_drug_details` with an NDC code to get precise packaging and labeler information immediately. - Never worry about outdated compliance checks again. The MCP lets you track historical changes for any drug using dedicated functions, showing regulatory evolution over time. - If your agent needs context, it can first run `list_drug_classes` to narrow the field before running a specific search, making complex queries much cleaner. - This integration stops you from having to jump between the NLM website and multiple internal databases; all official data comes through one point. ## How It Works The bottom line is that you use natural conversation to access complex pharmaceutical compliance records. 1. Subscribe to this MCP in Vinkius. No API key is needed because it has public access. 2. Tell your AI client what drug data you need, like searching for a name or providing an NDC code. 3. Your agent executes the query and returns structured data detailing the official labels and regulatory history. ## Frequently Asked Questions **How do I find official FDA labels using the DailyMed Drug Labels MCP?** You start by running `search_drugs` with the common name. This will narrow down the results and confirm which drug records are available for detailed review. **Does DailyMed Drug Labels provide general usage tips?** No, this MCP is strictly for regulatory data. It provides factual labels and historical compliance information, not medical advice or usage guidelines. **What if I only have the NDC code? Which tool do I use with DailyMed Drug Labels?** Use `get_drug_details` immediately. Providing the full NDC is the most direct path to retrieving detailed packaging and labeling information. **Can I see which drug classes are available through this MCP?** Yes, run `list_drug_classes`. This tool gives you a master list of categories so you can properly scope your searches before looking up specific drugs. **How do I connect to DailyMed Drug Labels without needing an API key?** You don't need one. This MCP uses public access credentials, so you just subscribe to it in your AI client. That keeps setup simple and immediate. **If I use the `get_drug_details` tool with an invalid NDC code, what happens?** The tool reports a specific error message right away. It tells you if the code isn't found or if it has been deprecated, helping you fix your input immediately. **When I use `search_drugs`, does the data include global drug information?** No. The MCP draws exclusively from NLM’s database of FDA-published labels. You're getting official US regulatory records, not a worldwide catalog. **Is the output from `list_drug_classes` structured for easy integration?** Yes, the results are provided in clean JSON format. This makes it simple to parse and plug those categories directly into your agent's workflow.