Retrieve a list of all Supporting Document Types

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://twilio.demo.bump-doc.com/doc/numbers/mcp

Standard setup for AI tools providing an mcp.json file

mcp.json 
"Numbers MCP server": {
  "url": "https://twilio.demo.bump-doc.com/doc/numbers/mcp"
}
Close
GET /v2/RegulatoryCompliance/SupportingDocumentTypes
Account sid auth token

TODO: Resource-level docs

Retrieve a list of all Supporting Document Types.

Query parameters

  • PageSize integer

    How many resources to return in each list page. The default is 50, and the maximum is 1000.

    Minimum value is 1, maximum value is 1000.

Responses

  • 200 application/json

    OK

    Hide response attributes Show response attributes object
    • meta object
      Hide meta attributes Show meta attributes object
      • first_page_url string(uri)
      • key string
      • next_page_url string(uri)
      • page integer
      • page_size integer
      • previous_page_url string(uri)
      • url string(uri)
    • supporting_document_types array[object]
      Hide supporting_document_types attributes Show supporting_document_types attributes object
      • fields array | null

        The required information for creating a Supporting Document

      • friendly_name string | null

        A human-readable description of the Supporting Document Type resource

      • machine_name string | null

        The machine-readable description of the Supporting Document Type resource

      • sid string | null

        The unique string that identifies the Supporting Document Type resource

        Minimum length is 34, maximum length is 34. Format should match the following pattern: ^OY[0-9a-fA-F]{32}$.

      • url string(uri) | null

        The absolute URL of the Supporting Document Type resource
GET /v2/RegulatoryCompliance/SupportingDocumentTypes 
curl \
 --request GET 'https://numbers.twilio.com/v2/RegulatoryCompliance/SupportingDocumentTypes' \
 --user "username:password"
Response examples (200) 
{
  "meta": {
    "first_page_url": "https://example.com",
    "key": "string",
    "next_page_url": "https://example.com",
    "page": 42,
    "page_size": 42,
    "previous_page_url": "https://example.com",
    "url": "https://example.com"
  },
  "supporting_document_types": [
    {
      "fields": [],
      "friendly_name": "string",
      "machine_name": "string",
      "sid": "string",
      "url": "https://example.com"
    }
  ]
}