mcp-dailymed
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-dailymedFind labels for ibuprofen"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@pipeworx/dailymed
DailyMed MCP — official FDA-submitted drug labels via NLM's DailyMed service. ~150k Structured Product Labels. No auth.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Tools
search_drugs(name?, application_number?, ndc?, rxcui?, page?, pagesize?)— search labelsget_drug(set_id)— Structured Product Label metadata + sectionslist_labels_for_drug_name(drug_name, page?)— all labels mentioning a drug namerecent_updates(limit?)— recently updated labelslist_classes(class_code?, type?)— pharmacologic / drug class reference
Related MCP server: openfda-mcp-server
Data source
https://dailymed.nlm.nih.gov/dailymed/services/v2/ — REST + JSON.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"dailymed": {
"url": "https://gateway.pipeworx.io/dailymed/mcp"
}
}
}What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/dailymed/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Dailymed data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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Maintenance
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If you are the server author, to access and configure the admin panel.
Related MCP Connectors
Search and export FDA drug labels by brand name, generic ingredient, or UNII code.
RxNorm MCP — wraps the NLM RxNav REST API (free, no auth)
Drug-drug interaction checker for clinical LLMs using RxNorm and DailyMed.
Search FDA safety data: drug adverse events, recalls, and device events.
Related MCP Servers
- AlicenseBqualityDmaintenanceProvides access to the official FDA DailyMed database for comprehensive drug information, including drug labels, NDC codes, RxNorm mappings, pharmacologic classifications, and FDA application numbers through natural language queries.283MIT
- AlicenseAqualityDmaintenanceEnables LLMs to search FDA drug labels and adverse event data via the OpenFDA API, supporting natural language queries for drug safety information.2MIT
- AlicenseNot gradedqualityDmaintenanceEnables drug terminology standardization and name normalization via RxNav API, supporting drug name search, generic/brand name conversion, ATC classification, and ingredient lookup.GPL 3.0
- AlicenseBqualityCmaintenanceEnables querying FDA drug label information including adverse reactions, warnings, and indications through natural language.524GPL 3.0
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