get_v1_ml_models_name
GetModel returns one deployed inference model. Its spec comes with it, and kserve's live status, which is where readiness and the serving address appear.
GetModel returns one deployed inference model. Its spec comes with it, and kserve's live status, which is where readiness and the serving address appear. A name the caller's org does not own answers 404, exactly as an unknown name does, so a probe learns nothing about another tenant's models.
| Tool | get_v1_ml_models_name |
| Door | https://api.hanzo.ai/v1/mcp |
| Method | tools/call (JSON-RPC 2.0) |
| Arguments | 1 |
| Operation | GET /v1/ml/models/{name} |
| Product | ml |
Arguments
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
name | string | — | — | Name is the resource to act on, taken from the path. Lower-cased and trimmed to the DNS-1123 label a CustomResource's metadata.name must be. |
This tool's schema does not declare which fields are required, nor any default, nor any enumerated value set. The columns above are empty because the door publishes nothing there, not because the answer is "none" — where a field is constrained, the constraint is stated in that field's own description.
Call it
A tools/call carries every argument in one flat object — nothing binds to a path or a query string. Every declared argument is shown, because the door marks none of them required.
curl -X POST https://api.hanzo.ai/v1/mcp \
-H "Authorization: Bearer $HANZO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "get_v1_ml_models_name",
"arguments": {
"name": "<name>"
}
}
}'Values are placeholders derived from each field's declared type. tools/list needs no credential; tools/call does — called without one the door answers HTTP 200 with a JSON-RPC result whose isError is set and whose text says what was missing. How to get a key →
The operation behind it
| Operation | Route | Product | Summary |
|---|---|---|---|
cloud_get_v1_ml_models_name | GET /v1/ml/models/{name} | ml | GetModel returns one deployed inference model. |
The same capability over plain HTTP is in the ml API reference, on https://api.hanzo.ai.
All 834 tools · The door · API reference
Generated from tools/list on https://api.hanzo.ai/v1/mcp — 834 tools captured 2026-08-01 (this build read the vendored copy; the door was unreachable).
How is this guide?