europepmc_evidence_landscape
Pack: europepmc · Endpoint: https://gateway.pipeworx.io/europepmc/mcp
Summarize a bounded Europe PMC literature sample for a biomedical topic by publication year/type, citations, open-access status, preprints, journals, and authors. This is bibliographic mapping—not evidence grading, replication analysis, or a clinical conclusion.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
query | string | yes | |
from_year | number | no | |
to_year | number | no | |
limit | number | no | Sample size, 1–100 (default 100). |
sort | string | no | ”cited” (default) or “date”. |
Example call
Arguments
{
"query": "semaglutide cardiovascular outcomes",
"from_year": 2024,
"to_year": 2026,
"limit": 100
}
curl
curl -X POST https://gateway.pipeworx.io/europepmc/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"europepmc_evidence_landscape","arguments":{"query":"semaglutide cardiovascular outcomes","from_year":2024,"to_year":2026,"limit":100}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('europepmc_evidence_landscape', {
"query": "semaglutide cardiovascular outcomes",
"from_year": 2024,
"to_year": 2026,
"limit": 100
});
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"europepmc": {
"url": "https://gateway.pipeworx.io/europepmc/mcp"
}
}
}
See Getting Started for client-specific install steps.