Get Specific Dataflow

Add MCP server to your AI tool

Allow AI tools and LLMs to interact with the API documentation portal through MCP.

MCP server URL


        
          
            https://apidocs.zerionsoftware.com/doc/dataflow-automation/mcp

Standard setup for AI tools providing an mcp.json file

{
  "Dataflow Automation MCP server": {
    "url": "https://apidocs.zerionsoftware.com/doc/dataflow-automation/mcp"
  }
}

GET /dataflows/{dataflowId}

Bearer auth

Return specific Dataflow.

Path parameters

dataflowId string Required

id of the Dataflow

Responses

200 application/json

Successful response
Hide response attributes Show response attributes object
- _id string
  
  id of the Node
- name string
  
  name of the Node
- description string
  
  description of the Dataflow
- owningEntity string
  
  owner of the Dataflow
- trustedEntities array
- entity string
  
  id of the Entity that has access to the Dataflow
- accessLevel string
  
  Access Level
- nodes array
- type string
  
  type of the Node
- recordCount number
  
  Number of record count
- node number
  
  index of the Node
- nodeType string
  
  Node Type
- links array
- source number
  
  Source Index
- target number
  
  Target Index
- value number
  
  Currently not used. Default to 1
- status number
  
  Currently not used
- CREATED_DATE string
  
  Created Date
- CREATED_BY string
  
  Name of the person created this Dataflow
- MODIFIED_DATE string
  
  Modified Date
- MODIFIED_BY string
  
  Name of the last person modified this Dataflow
- maxObjectsPerDataflow number
  
  Number of objects allowed per Dataflow
- errorNotificationEmail string
  
  The email or email addresses to send error notifications to. Multiple emails must be separated by a comma.
- enableErrorEmailNotifications string
  
  Indicates if the error email notifications will be enabled.

GET /dataflows/{dataflowId}

curl \
 --request GET 'https://dataflownode.zerionsoftware.com/zcrypt/v1.0/dataflows/{dataflowId}' \
 --header "Authorization: Bearer $ACCESS_TOKEN"

Response examples (200)

{
  "_id": "56ee30b8b251c553547ac88e",
  "name": "DF14",
  "description": "",
  "owningEntity": "demo_5000",
  "trustedEntities": [
    {
      "entity": "5684058f159fffbe29ff9912",
      "accessLevel": "READWRITE"
    }
  ],
  "nodes": [
    {
      "_id": "56ee30c2b251c553547ac88f",
      "name": "df14",
      "type": "recordset",
      "recordCount": 0,
      "node": 0,
      "nodeType": "node"
    },
    {
      "_id": "56eec562b251c553547ac8ad",
      "name": "df24",
      "type": "recordset",
      "recordCount": 0,
      "node": 1,
      "nodeType": "node"
    },
    {
      "_id": "56ef61e1f67f7c386d75852e",
      "name": "wh_df24",
      "type": "webhook",
      "node": 2,
      "nodeType": "input",
      "nodeRecordSetId": "56eec562b251c553547ac8ad"
    },
    {
      "_id": "56f038bbf67f7c386d7585fa",
      "name": "ss",
      "type": "slack",
      "nodeType": "output",
      "nodeRecordSetId": "56ee30c2b251c553547ac88f",
      "node": 3
    }
  ],
  "links": [
    {
      "source": 0,
      "target": 3,
      "value": 1
    }
  ],
  "status": 0,
  "CREATED_DATE": "2016-03-21T18:08:59.656Z",
  "CREATED_BY": "5684058f159fffbe29ff9912",
  "MODIFIED_DATE": "2016-03-21T18:08:59.656Z",
  "MODIFIED_BY": "5684058f159fffbe29ff9912",
  "maxObjectsPerDataflow": 20
}