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}

Oauth2

Update a Dataflow.

Path parameters

dataflowId string Required

id of the Dataflow

application/json

Body

autocleani_form_data boolean

true/false
description string

description of the Dataflow
enable_error_email_notifications string

Indicates if the error email notifications will be enabled.
error_notification_email string

The email or email addresses to send error notifications to. Multiple emails must be separated by a comma.
name string Required

name 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

Responses

200 application/json

OK
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 '{"autocleani_form_data":true,"description":"string","enable_error_email_notifications":"string","error_notification_email":"string","name":"string","status":42.0}'

Request examples

{
  "autocleani_form_data": true,
  "description": "string",
  "enable_error_email_notifications": "string",
  "error_notification_email": "string",
  "name": "string",
  "status": 42.0
}

Response examples (200)

{
  "_id": "5743cbbccd7b08254a5a6ec0"
}