Update a 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"
  }
}

PUT /dataflows/{dataflowId}

Bearer auth

Update a Dataflow.

Path parameters

dataflowId string Required

id of the Dataflow

application/json

Body

name string

name of the Dataflow
description string

description of the Dataflow
status number

1 is for active, 0 is for inactive. By default, status is set to 1. In case of defective dataflow, it should be set to 0
autocleaniFormData boolean

true/false
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.
_id string

the updated Dataflow Id

Responses

200 application/json

Successful response
Hide response attribute Show response attribute object
- _id string
  
  the updated Dataflow Id

PUT /dataflows/{dataflowId}

curl \
 --request PUT 'https://dataflownode.zerionsoftware.com/zcrypt/v1.0/dataflows/{dataflowId}' \
 --header "Authorization: Bearer $ACCESS_TOKEN" \
 --header "Content-Type: application/json" \
 --data '{
    "name": "new_dataflow",
    "description" : "dataflow description"
    "status" : 1,
    "autocleaniFormData" false
}'

Request example

{
    "name": "new_dataflow",
    "description" : "dataflow description"
    "status" : 1,
    "autocleaniFormData" false
}

Response examples (200)

{
  "_id": "5743cbbccd7b08254a5a6ec0"
}