[BETA] Create a VPC

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://openapi-v2.exoscale.com/mcp

Standard setup for AI tools providing an mcp.json file

mcp.json 
"Exoscale APIv2 MCP server": {
  "url": "https://openapi-v2.exoscale.com/mcp"
}
Close
POST /vpc
application/json

Body Required

  • name string Required

    VPC name

    Minimum length is 1, maximum length is 255.

  • description string

    VPC description

    Maximum length is 4096.

  • labels object
    Hide labels attribute Show labels attribute object
    • * string Additional properties

Responses

  • 200 application/json

    200

    Hide response attributes Show response attributes object
    • id string(uuid)

      Operation ID

    • reason string

      Operation failure reason

      Values are incorrect, unknown, unavailable, forbidden, busy, fault, partial, not-found, interrupted, unsupported, or conflict.

    • reference object

      Related resource reference

      Hide reference attributes Show reference attributes object
      • id string(uuid)

        Reference ID

      • link string

        Link to the referenced resource

      • command string

        Command name

    • message string

      Operation message

    • state string

      Operation status

      Values are failure, pending, success, or timeout.
POST /vpc 
curl \
 --request POST 'https://api-ch-gva-2.exoscale.com/v2/vpc' \
 --header "Content-Type: application/json" \
 --data '{"name":"string","description":"string","labels":{"additionalProperty1":"string","additionalProperty2":"string"}}'
Request examples 
{
  "name": "string",
  "description": "string",
  "labels": {
    "additionalProperty1": "string",
    "additionalProperty2": "string"
  }
}
Response examples (200) 
{
  "id": "string",
  "reason": "incorrect",
  "reference": {
    "id": "string",
    "link": "string",
    "command": "string"
  },
  "message": "string",
  "state": "failure"
}