Update Connection

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 /connections/{connectionId}

Oauth2

Update Connection.

Path parameters

connectionId string Required

id of the Connection

application/json

Body

id string

Connection Id
config object Required

Configuration based on connection type
connection_name string

Connection Name
created_by string

Created by entity name
created_by_id string

Created by entity Id
description string

Connection description
owning_entity string

Owner's name
trusted_entities array

Array of Entities that have permission to this connection
type string Required

Connection type (email, iform_oauth2, )

Responses

200 application/json

OK
Hide response attribute Show response attribute object
- id string
  
  the updated Connection Id

PUT /connections/{connectionId}

curl \
 --request PUT 'https://dataflownode.zerionsoftware.com/zcrypt/v1.0/connections/{connectionId}' \
 --header "Authorization: Bearer $ACCESS_TOKEN" \
 --header "Content-Type: application/json" \
 --data '{"id":"string","config":{},"connection_name":"string","created_by":"string","created_by_id":"string","description":"string","owning_entity":"string","trusted_entities":[],"type":"string"}'

Request examples

{
  "id": "string",
  "config": {},
  "connection_name": "string",
  "created_by": "string",
  "created_by_id": "string",
  "description": "string",
  "owning_entity": "string",
  "trusted_entities": [],
  "type": "string"
}

Response examples (200)

{
  "_id": "574bcd24d96535adaf730a63"
}