fda_faers_reaction_profile
Pack: openfda · Endpoint: https://gateway.pipeworx.io/openfda/mcp
Summarize the most frequently co-reported FAERS reactions plus serious/non-serious report counts for a drug. Counts are spontaneous reports with duplicates, co-medications, and reporting bias—not event rates or proof of causation.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
drug | string | yes | |
from_date | string | no | Optional. YYYY-MM-DD. OMIT for all-time counts (the common case). Only specify if the question is about a specific date range — and never set from_date equal to to_date (a zero-width window returns 0). |
to_date | string | no | Optional. YYYY-MM-DD. OMIT unless from_date is also set. Must be after from_date. |
limit | number | no |
Example call
Arguments
{
"drug": "metformin"
}
curl
curl -X POST https://gateway.pipeworx.io/openfda/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"fda_faers_reaction_profile","arguments":{"drug":"metformin"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('fda_faers_reaction_profile', {
"drug": "metformin"
});
More examples
{
"drug": "semaglutide"
}
{
"drug": "Ozempic",
"from_date": "2025-01-01",
"to_date": "2025-12-31",
"limit": 20
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"openfda": {
"url": "https://gateway.pipeworx.io/openfda/mcp"
}
}
}
See Getting Started for client-specific install steps.