Get Model

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

{
  "Exoscale APIv2 MCP server": {
    "url": "https://openapi-v2.exoscale.com/mcp"
  }
}

GET /ai/model/{id}

Get Model details

Path parameters

id string(uuid) Required

Responses

404 application/json

404
Hide response attributes Show response attributes object
- type string(uri-reference) Required
  
  An absolute or relative URI reference pointing to human-readable documentation concerning the specific problem type encountered.
- title string Required
  
  A brief summary defining the class of failure, optimal for quick user interface groupings.
- status integer Required
  
  Minimum value is 100, maximum value is 599.
- detail string Required
  
  A highly contextual, readable explanation breaking down explicitly what triggered this error scenario.
200 application/json

200
Hide response attributes Show response attributes object
- updated-at string(date-time) Required
  
  Update time
- name string Required
  
  Model name
  
  Minimum length is 1.
- state string Required
  
  Model state
  
  Values are ready, creating, downloading, error, or created.
- id string(uuid) Required
  
  Model ID
- model-size integer(int64) Required
  
  Model size in bytes
  
  Minimum value is 0.
- created-at string(date-time) Required
  
  Creation time

GET /ai/model/{id}

curl \
 --request GET 'https://api-ch-gva-2.exoscale.com/v2/ai/model/{id}'

Response examples (404)

{
  "type": "string",
  "title": "string",
  "status": 42,
  "detail": "string"
}

Response examples (200)

{
  "updated-at": "2026-05-04T09:42:00Z",
  "name": "string",
  "state": "ready",
  "id": "string",
  "model-size": 42,
  "created-at": "2026-05-04T09:42:00Z"
}