dataset
Pack: dataverse-harvard · Endpoint: https://gateway.pipeworx.io/dataverse-harvard/mcp
Dataset metadata by DOI persistent id (e.g. “doi:10.7910/DVN/…”).
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
persistent_id | string | yes |
Example call
curl -X POST https://gateway.pipeworx.io/dataverse-harvard/mcp \
-H 'Content-Type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"dataset","arguments":{}}}'Response shape
| Field | Type | Description |
|---|---|---|
status | string | API response status |
data | object | Dataset metadata |
Full JSON Schema
{
"type": "object",
"description": "Dataset metadata response",
"properties": {
"status": {
"type": "string",
"description": "API response status"
},
"data": {
"type": "object",
"description": "Dataset metadata",
"properties": {
"id": {
"type": "integer",
"description": "Dataset ID"
},
"identifier": {
"type": "string",
"description": "Dataset persistent identifier"
},
"persistentUrl": {
"type": "string",
"description": "Persistent URL to dataset"
},
"protocol": {
"type": "string",
"description": "Protocol (e.g., doi)"
},
"authority": {
"type": "string",
"description": "Authority (e.g., 10.7910)"
},
"publisher": {
"type": "string",
"description": "Publisher name"
},
"publicationDate": {
"type": "string",
"description": "Publication date"
},
"storageSize": {
"type": "integer",
"description": "Storage size in bytes"
},
"subjects": {
"type": "array",
"description": "Subject tags",
"items": {
"type": "string"
}
},
"datasetVersion": {
"type": "object",
"description": "Dataset version details"
}
}
}
}
}Connect
Add this to your MCP client config, or use one-click install buttons:
{
"mcpServers": {
"dataverse-harvard": {
"url": "https://gateway.pipeworx.io/dataverse-harvard/mcp"
}
}
}See Getting Started for client-specific install steps.