`dataset_files`

Pack: dataverse-harvard · 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/dataset_files for the schema, then POST the same URL with its arguments for the data.

List all files in the latest version of a Harvard Dataverse dataset identified by its DOI persistent ID (e.g. “doi:10.7910/DVN/…”), returning file names, content types, sizes, and download URLs. For files Dataverse has TABULAR-INGESTED (CSV/DTA/SAV/POR under its ingest size limit), also returns exact COLUMN / VARIABLE NAMES and labels from Dataverse’s DDI metadata (variables_by_file). If a dataset has no tabular-ingested files (common for very large files, or non-tabular formats), column names are not available from Dataverse at all — the response says so explicitly rather than silently omitting them.

Parameters

Name	Type	Required	Description
`persistent_id`	string	yes

Example call

Arguments

{
  "persistent_id": "doi:10.7910/DVN/DUWBBU"
}

curl

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_files","arguments":{"persistent_id":"doi:10.7910/DVN/DUWBBU"}}}'

TypeScript (@pipeworx/sdk)

import { Pipeworx } from '@pipeworx/sdk';
const pipeworx = new Pipeworx();

const result = await pipeworx.call('dataset_files', {
  "persistent_id": "doi:10.7910/DVN/DUWBBU"
});

Response shape

Field	Type	Description
`status`	string	API response status
`data`	array	Dataset files data

Full JSON Schema

{
  "type": "object",
  "description": "Files in a dataset",
  "properties": {
    "status": {
      "type": "string",
      "description": "API response status"
    },
    "data": {
      "description": "Dataset files data",
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "label": {
            "type": "string"
          },
          "restricted": {
            "type": "boolean"
          },
          "version": {
            "type": "number"
          },
          "datasetVersionId": {
            "type": "number"
          },
          "dataFile": {
            "type": "object",
            "properties": {
              "id": {
                "type": "number"
              },
              "persistentId": {
                "type": "string"
              },
              "filename": {
                "type": "string"
              },
              "contentType": {
                "type": "string"
              },
              "friendlyType": {
                "type": "string"
              },
              "filesize": {
                "type": "number"
              },
              "storageIdentifier": {
                "type": "string"
              },
              "rootDataFileId": {
                "type": "number"
              },
              "md5": {
                "type": "string"
              },
              "checksum": {
                "type": "object",
                "properties": {
                  "type": {
                    "type": "string"
                  },
                  "value": {
                    "type": "string"
                  }
                }
              },
              "tabularData": {
                "type": "boolean"
              },
              "creationDate": {
                "type": "string"
              },
              "publicationDate": {
                "type": "string"
              },
              "lastUpdateTime": {
                "type": "string"
              },
              "fileAccessRequest": {
                "type": "boolean"
              }
            }
          }
        }
      }
    }
  }
}

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 dataverse-harvard pack

{
  "mcpServers": {
    "dataverse-harvard": {
      "url": "https://gateway.pipeworx.io/dataverse-harvard/mcp"
    }
  }
}

See Getting Started for client-specific install steps.

dataset_files