Maybe this is what you’re looking for:
julia> using ITensorMPS: linkind, random_mps, siteinds
julia> s = siteinds("S=1/2", 5)
5-element Vector{ITensors.Index{Int64}}:
(dim=2|id=251|"S=1/2,Site,n=1")
(dim=2|id=817|"S=1/2,Site,n=2")
(dim=2|id=160|"S=1/2,Site,n=3")
(dim=2|id=577|"S=1/2,Site,n=4")
(dim=2|id=843|"S=1/2,Site,n=5")
julia> x = random_mps(s; linkdims=3)
ITensors.ITensorMPS.MPS
[1] ((dim=2|id=251|"S=1/2,Site,n=1"), (dim=3|id=501|"Link,l=1"))
[2] ((dim=3|id=501|"Link,l=1"), (dim=2|id=817|"S=1/2,Site,n=2"), (dim=3|id=460|"Link,l=2"))
[3] ((dim=3|id=460|"Link,l=2"), (dim=2|id=160|"S=1/2,Site,n=3"), (dim=3|id=620|"Link,l=3"))
[4] ((dim=3|id=620|"Link,l=3"), (dim=2|id=577|"S=1/2,Site,n=4"), (dim=2|id=413|"Link,l=4"))
[5] ((dim=2|id=413|"Link,l=4"), (dim=2|id=843|"S=1/2,Site,n=5"))
julia> Array(x[3], linkind(x, 2), linkind(x, 3), s[3])
3×3×2 Array{Float64, 3}:
[:, :, 1] =
-0.463847 -0.0272978 -0.519668
0.376511 0.240638 0.555349
0.335718 0.107249 -0.160548
[:, :, 2] =
0.0620362 -0.28103 -0.656673
0.292919 -0.321849 -0.550029
-0.251503 0.75701 -0.462274