osf_search_preprints
Pack: osf · Connect: https://pipeworx.io/mcp (see Connect below for a single-pack URL)
No MCP client? Call it directly: GET https://gateway.pipeworx.io/v1/tools/osf_search_preprints for the schema, then POST the same URL with its arguments for the data.
OSF: search public preprints by title (Open Science Framework, by the Center for Open Science). Returns id, title, description, publication date, DOI, and tags. Keyless public data; the API can be slow.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
query | string | yes | Title search text, e.g. “machine learning”. |
limit | number | no | Max results (default 15, max 50). |
Example call
Arguments
{
"query": "machine learning"
}
curl
curl -X POST https://gateway.pipeworx.io/osf/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"osf_search_preprints","arguments":{"query":"machine learning"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('osf_search_preprints', {
"query": "machine learning"
});
Connect
Add this to your MCP client config — every tool in the catalog, including this one — or use one-click install buttons:
{
"mcpServers": {
"pipeworx": {
"url": "https://pipeworx.io/mcp"
}
}
}
Connect to just the osf pack
{
"mcpServers": {
"osf": {
"url": "https://gateway.pipeworx.io/osf/mcp"
}
}
}
See Getting Started for client-specific install steps.