search_datasets
Pack: openaire · Endpoint: https://gateway.pipeworx.io/openaire/mcp
“Find research datasets about [topic]” / “open data on [subject]” / “look up [field] datasets” — search research datasets registered in OpenAIRE (Zenodo, Dryad, Figshare, B2SHARE etc.). Use for finding open research data to reuse / cite.
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
from_year | string | no | |
to_year | string | no |
Example call
Arguments
{
"query": "genomic sequencing data"
}
curl
curl -X POST https://gateway.pipeworx.io/openaire/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"search_datasets","arguments":{"query":"genomic sequencing data"}}}'
TypeScript (@pipeworx/sdk)
import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();
const result = await pipeworx.call('search_datasets', {
"query": "genomic sequencing data"
});
More examples
{
"query": "climate observations",
"from_year": "2015",
"to_year": "2024"
}
Response shape
Always returns: query, total, page, page_size, count, results
| Field | Type | Description |
|---|---|---|
query | string | The search query that was executed |
total | number | null | Total number of matching datasets |
page | number | null | Current page number (1-based) |
page_size | number | null | Number of results per page |
count | number | Number of results in this response |
results | array | Array of dataset objects |
Full JSON Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The search query that was executed"
},
"total": {
"type": [
"number",
"null"
],
"description": "Total number of matching datasets"
},
"page": {
"type": [
"number",
"null"
],
"description": "Current page number (1-based)"
},
"page_size": {
"type": [
"number",
"null"
],
"description": "Number of results per page"
},
"count": {
"type": "number",
"description": "Number of results in this response"
},
"results": {
"type": "array",
"description": "Array of dataset objects",
"items": {
"type": "object"
}
}
},
"required": [
"query",
"total",
"page",
"page_size",
"count",
"results"
]
}
Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"openaire": {
"url": "https://gateway.pipeworx.io/openaire/mcp"
}
}
}
See Getting Started for client-specific install steps.