Dataflow Automation

Response to the Shared Request

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

mcp.json 
{
  "Dataflow Automation MCP server": {
    "url": "https://apidocs.zerionsoftware.com/doc/dataflow-automation/mcp"
  }
}
Close
POST /responseRequestedDataflow/dataflows/{dataflowId}
Oauth2

Response to the Shared Request by the Owner.

Path parameters

  • dataflowId string Required

    id of the Dataflow

application/json

Body

  • action number

    approve/reject the request (1 is for approve and -1 is for reject)

  • entity_id string

    entity Id of the requested user

  • expired_time number

    expiration Time for sharing (in hours). Do not include this field for no expiration Time

Responses

  • 200 application/json

    OK

    Hide response attribute Show response attribute object
    • success number

      success is 1 when request is completed
POST /responseRequestedDataflow/dataflows/{dataflowId} 
curl \
 --request POST 'https://dataflownode.zerionsoftware.com/zcrypt/v1.0/responseRequestedDataflow/dataflows/{dataflowId}' \
 --header "Authorization: Bearer $ACCESS_TOKEN" \
 --header "Content-Type: application/json" \
 --data '"{\n  \"action\": 1,\n  \"entityId\": \"5684058f159fffbe29ff9912\",\n  \"expiredTime\": 24\n}"'
Request example 
{
  "action": 1,
  "entityId": "5684058f159fffbe29ff9912",
  "expiredTime": 24
}
Response examples (200) 
{
  "success": 0
}