diff --git a/.github/workflows/CompatHelper.yml b/.github/workflows/CompatHelper.yml
new file mode 100644
index 0000000..0f66259
--- /dev/null
+++ b/.github/workflows/CompatHelper.yml
@@ -0,0 +1,22 @@
+name: CompatHelper
+
+on:
+  schedule:
+    - cron: '00 00 * * *'
+  workflow_dispatch:
+
+jobs:
+  CompatHelper:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        julia-version: [1.2.0]
+        julia-arch: [x86]
+        os: [ubuntu-latest]
+    steps:
+      - name: Pkg.add("CompatHelper")
+        run: julia -e 'using Pkg; Pkg.add("CompatHelper")'
+      - name: CompatHelper.main()
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: julia -e 'using CompatHelper; CompatHelper.main()'
diff --git a/.github/workflows/TagBot.yml b/.github/workflows/TagBot.yml
new file mode 100644
index 0000000..f49313b
--- /dev/null
+++ b/.github/workflows/TagBot.yml
@@ -0,0 +1,15 @@
+name: TagBot
+on:
+  issue_comment:
+    types:
+      - created
+  workflow_dispatch:
+jobs:
+  TagBot:
+    if: github.event_name == 'workflow_dispatch' || github.actor == 'JuliaTagBot'
+    runs-on: ubuntu-latest
+    steps:
+      - uses: JuliaRegistries/TagBot@v1
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+          ssh: ${{ secrets.DOCUMENTER_KEY }}
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
new file mode 100644
index 0000000..e40b8e2
--- /dev/null
+++ b/.github/workflows/ci.yml
@@ -0,0 +1,50 @@
+name: CI
+on:
+  push:
+    branches: [master]
+  pull_request:
+    types: [opened, synchronize, reopened]
+jobs:
+  test:
+    name: Julia ${{ matrix.version }} - ${{ matrix.os }} - ${{ matrix.arch }} - ${{ github.event_name }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - version: '1.0'
+            os: ubuntu-latest
+            arch: x64
+          - version: '1'
+            os: ubuntu-latest
+            arch: x64
+          - version: '1'
+            os: ubuntu-latest
+            arch: x86
+#          - version: 'nightly'
+#            os: ubuntu-latest
+#            arch: x64
+    steps:
+      - uses: actions/checkout@v2
+      - uses: julia-actions/setup-julia@v1
+        with:
+          version: ${{ matrix.version }}
+          arch: ${{ matrix.arch }}
+      - uses: actions/cache@v1
+        env:
+          cache-name: cache-artifacts
+        with:
+          path: ~/.julia/artifacts
+          key: ${{ runner.os }}-test-${{ env.cache-name }}-${{ hashFiles('**/Project.toml') }}
+          restore-keys: |
+            ${{ runner.os }}-test-${{ env.cache-name }}-
+            ${{ runner.os }}-test-
+            ${{ runner.os }}-
+      - uses: julia-actions/julia-buildpkg@v1
+      - uses: julia-actions/julia-runtest@v1
+        with:
+          depwarn: error
+      - uses: julia-actions/julia-processcoverage@v1
+      - uses: codecov/codecov-action@v1
+        with:
+          file: lcov.info
diff --git a/.travis.yml b/.travis.yml
deleted file mode 100644
index 69de33b..0000000
--- a/.travis.yml
+++ /dev/null
@@ -1,8 +0,0 @@
-language: julia
-codecov: true
-julia:
-  - nightly
-  - 1.0
-  - 1
-notifications:
-  email: false
diff --git a/Project.toml b/Project.toml
index daa4680..50c056f 100644
--- a/Project.toml
+++ b/Project.toml
@@ -11,7 +11,7 @@ Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 SparseArrays = "2f01184e-e22b-5df5-ae63-d93ebab69eaf"
 
 [compat]
-MathOptInterface = "0.9"
+MathOptInterface = "0.10.5"
 
 [extras]
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
diff --git a/src/MOI_wrapper.jl b/src/MOI_wrapper.jl
index 8099a20..9a476fb 100644
--- a/src/MOI_wrapper.jl
+++ b/src/MOI_wrapper.jl
@@ -48,47 +48,6 @@ function MOI.get(optimizer::Optimizer, ::MOI.ConstraintDual,
     return optimizer.y
 end
 
-function MOI.is_empty(optimizer::Optimizer)
-    return optimizer.sense === nothing && optimizer.objective_function === nothing &&
-        optimizer.set === nothing
-end
-
-function MOI.empty!(optimizer::Optimizer)
-    optimizer.sense = nothing
-    optimizer.objective_function = nothing
-    optimizer.set = nothing
-    optimizer.X = nothing
-    optimizer.x = nothing
-    optimizer.y = nothing
-    optimizer.results = nothing
-end
-
-MOI.Utilities.supports_default_copy_to(::Optimizer, names::Bool) = !names
-
-function MOI.copy_to(dest::Optimizer, src::MOI.ModelLike; kwargs...)
-    return MOI.Utilities.automatic_copy_to(dest, src; kwargs...)
-end
-
-function MOI.get(optimizer::Optimizer, ::MOI.ListOfModelAttributesSet)
-    attributes = MOI.AbstractModelAttribute[]
-    if optimizer.sense !== nothing
-        push!(optimizer, optimizer.sense)
-    end
-    if optimizer.objective_function !== nothing
-        F = typeof(optimizer.objective_function)
-        push!(optimizer, MOI.ObjectiveFunction{F}())
-    end
-    return attributes
-end
-
-function MOI.get(::Optimizer, ::MOI.ListOfVariableAttributesSet)
-    return MOI.AbstractVariableAttribute[]
-end
-
-function MOI.get(::Optimizer, ::MOI.ListOfConstraintAttributesSet)
-    return MOI.AbstractConstraintAttribute[]
-end
-
 function MOI.supports(
     optimizer::Optimizer{T},
     ::Union{MOI.ObjectiveSense,
@@ -108,35 +67,6 @@ end
 function MOI.is_valid(optimizer::Optimizer, ci::MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope})
     return optimizer.set !== nothing && isone(ci.value)
 end
-function MOI.get(optimizer::Optimizer, ::MOI.ConstraintFunction,
-                 ci::MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope})
-    MOI.throw_if_not_valid(optimizer, ci)
-    return MOI.VectorOfVariables(MOI.get(optimizer, MOI.ListOfVariableIndices()))
-end
-function MOI.get(optimizer::Optimizer, ::MOI.NumberOfVariables)
-    return optimizer.set === nothing ? 0 : MOI.dimension(optimizer.set)
-end
-function MOI.get(optimizer::Optimizer, ::MOI.ListOfVariableIndices)
-    return MOI.VariableIndex.(1:MOI.get(optimizer, MOI.NumberOfVariables()))
-end
-MOI.get(optimizer::Optimizer, ::MOI.VariableName, ::MOI.VariableIndex) = ""
-function MOI.get(optimizer::Optimizer, ::MOI.ListOfConstraints)
-    constraint_types = Tuple{DataType, DataType}[]
-    if optimizer.set !== nothing
-        push!(constraint_types, (MOI.VectorOfVariables, Elliptope))
-    end
-    return constraint_types
-end
-function MOI.get(optimizer::Optimizer, ::MOI.NumberOfConstraints{MOI.VectorOfVariables, Elliptope})
-    return optimizer.set === nothing ? 0 : 1
-end
-function MOI.get(optimizer::Optimizer, ::MOI.ListOfConstraintIndices{MOI.VectorOfVariables, Elliptope})
-    indices = MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope}[]
-    if optimizer.set !== nothing
-        push!(indices, MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope}(1))
-    end
-    return indices
-end
 
 function MOI.set(optimizer::Optimizer, ::MOI.ObjectiveSense, sense::MOI.OptimizationSense)
     if sense == MOI.FEASIBILITY_SENSE
@@ -155,6 +85,7 @@ MOI.get(optimizer::Optimizer{T}, ::MOI.ObjectiveFunctionType) where {T} = MOI.Sc
 function MOI.get(optimizer::Optimizer{T}, ::MOI.ObjectiveFunction{MOI.ScalarAffineFunction{T}}) where T
     return optimizer.objective_function
 end
+
 function MOI.optimize!(optimizer::Optimizer{T}) where T
     !iszero(optimizer.objective_function.constant) && error("Nonzero objective constant not supported")
     mapping = [(i, j) for j in 2:optimizer.set.side_dimension for i in 1:(j - 1)]
@@ -162,7 +93,7 @@ function MOI.optimize!(optimizer::Optimizer{T}) where T
     J = Int[]
     V = T[]
     for term in optimizer.objective_function.terms
-        i, j = mapping[term.variable_index.value]
+        i, j = mapping[term.variable.value]
         push!(I, i)
         push!(I, j)
         push!(J, j)
@@ -181,3 +112,86 @@ function MOI.optimize!(optimizer::Optimizer{T}) where T
     optimizer.x = [optimizer.X[i, j] for j in 2:optimizer.set.side_dimension for i in 1:(j - 1)]
     return
 end
+
+# Needed to copy to the optimizer
+function MOI.is_empty(optimizer::Optimizer)
+    return optimizer.sense === nothing && optimizer.objective_function === nothing &&
+        optimizer.set === nothing
+end
+
+function MOI.empty!(optimizer::Optimizer)
+    optimizer.sense = nothing
+    optimizer.objective_function = nothing
+    optimizer.set = nothing
+    optimizer.X = nothing
+    optimizer.x = nothing
+    optimizer.y = nothing
+    optimizer.results = nothing
+end
+
+MOI.supports_incremental_interface(::Optimizer) = true
+
+function MOI.copy_to(dest::Optimizer, src::MOI.ModelLike)
+    return MOI.Utilities.default_copy_to(dest, src)
+end
+
+# Needed to copy from the optimizer
+function MOI.get(optimizer::Optimizer, ::MOI.ListOfOptimizerAttributesSet)
+    return collect(keys(optimizer.options))
+end
+
+function MOI.get(optimizer::Optimizer, ::MOI.ListOfModelAttributesSet)
+    attributes = MOI.AbstractModelAttribute[]
+    if optimizer.sense !== nothing
+        push!(attributes, MOI.ObjectiveSense())
+    end
+    if optimizer.objective_function !== nothing
+        F = typeof(optimizer.objective_function)
+        push!(attributes, MOI.ObjectiveFunction{F}())
+    end
+    return attributes
+end
+
+function MOI.get(::Optimizer, ::MOI.ListOfVariableAttributesSet)
+    return MOI.AbstractVariableAttribute[]
+end
+
+function MOI.get(::Optimizer, ::MOI.ListOfConstraintAttributesSet)
+    return MOI.AbstractConstraintAttribute[]
+end
+
+function MOI.get(optimizer::Optimizer, ::MOI.ListOfConstraintTypesPresent)
+    constraint_types = Tuple{DataType, DataType}[]
+    if optimizer.set !== nothing
+        push!(constraint_types, (MOI.VectorOfVariables, Elliptope))
+    end
+    return constraint_types
+end
+function MOI.get(optimizer::Optimizer, ::MOI.NumberOfConstraints{MOI.VectorOfVariables, Elliptope})
+    return optimizer.set === nothing ? 0 : 1
+end
+function MOI.get(optimizer::Optimizer, ::MOI.ListOfConstraintIndices{MOI.VectorOfVariables, Elliptope})
+    indices = MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope}[]
+    if optimizer.set !== nothing
+        push!(indices, MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope}(1))
+    end
+    return indices
+end
+function MOI.get(optimizer::Optimizer, ::MOI.ConstraintFunction,
+                 ci::MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope})
+    MOI.throw_if_not_valid(optimizer, ci)
+    return MOI.VectorOfVariables(MOI.get(optimizer, MOI.ListOfVariableIndices()))
+end
+function MOI.get(optimizer::Optimizer, ::MOI.ConstraintSet,
+                 ci::MOI.ConstraintIndex{MOI.VectorOfVariables, Elliptope})
+    MOI.throw_if_not_valid(optimizer, ci)
+    return optimizer.set
+end
+
+function MOI.get(optimizer::Optimizer, ::MOI.NumberOfVariables)
+    return optimizer.set === nothing ? 0 : MOI.dimension(optimizer.set)
+end
+function MOI.get(optimizer::Optimizer, ::MOI.ListOfVariableIndices)
+    return MOI.VariableIndex.(1:MOI.get(optimizer, MOI.NumberOfVariables()))
+end
+MOI.get(optimizer::Optimizer, ::MOI.VariableName, ::MOI.VariableIndex) = ""
diff --git a/src/interface.jl b/src/interface.jl
index c958d90..671a875 100644
--- a/src/interface.jl
+++ b/src/interface.jl
@@ -31,7 +31,7 @@ const SUPPORTED_GETTABLE_ATTRIBUTES = Union{
     MOI.TerminationStatus,
     MOI.PrimalStatus,
     MOI.DualStatus,
-    MOI.SolveTime,
+    MOI.SolveTimeSec,
     NumberOfIterations,
     NumberOfCholeskyFactorizations
 }
diff --git a/src/mc_psd.jl b/src/mc_psd.jl
index 5669abd..01178fa 100644
--- a/src/mc_psd.jl
+++ b/src/mc_psd.jl
@@ -108,7 +108,7 @@ function mc_psd(L::Symmetric{T};
     end            # end of main loop
 
     results = Dict{MOI.AbstractModelAttribute, Any}(
-        MOI.SolveTime() => (current - start) / 1e9,
+        MOI.SolveTimeSec() => (current - start) / 1e9,
         NumberOfIterations() => iter,
         NumberOfCholeskyFactorizations() => cholcnt,
     )
diff --git a/test/MOI_wrapper.jl b/test/MOI_wrapper.jl
index 7f938cd..2ab010a 100644
--- a/test/MOI_wrapper.jl
+++ b/test/MOI_wrapper.jl
@@ -7,23 +7,16 @@ const MOIU = MOI.Utilities
 const MOIB = MOI.Bridges
 
 import MCPSD
-const OPTIMIZER_CONSTRUCTOR = MOI.OptimizerWithAttributes(MCPSD.Optimizer, MOI.Silent() => true)
-const OPTIMIZER = MOI.instantiate(OPTIMIZER_CONSTRUCTOR)
 
 @testset "SolverName" begin
-    @test MOI.get(OPTIMIZER, MOI.SolverName()) == "MCPSD"
+    @test MOI.get(MCPSD.Optimizer(), MOI.SolverName()) == "MCPSD"
 end
 
-@testset "supports_default_copy_to" begin
-    @test MOIU.supports_default_copy_to(OPTIMIZER, false)
-    @test !MOIU.supports_default_copy_to(OPTIMIZER, true)
+@testset "supports_incremental_interface" begin
+    @test MOI.supports_incremental_interface(MCPSD.Optimizer())
 end
 
-const BRIDGED = MOI.instantiate(OPTIMIZER_CONSTRUCTOR, with_bridge_type = Float64)
-const CONFIG = MOIT.TestConfig(atol=1e-6, rtol=1e-6)
-
 function moi_test(optimizer, L::Matrix{T}, expected_X, expected_y, expected_obj, tol) where T
-    MOI.empty!(optimizer)
     @test MOI.is_empty(optimizer)
     @test MOI.get(optimizer, MOI.SolverName()) == "MCPSD"
     MOI.supports(optimizer, MCPSD.Digits())
@@ -36,16 +29,15 @@ function moi_test(optimizer, L::Matrix{T}, expected_X, expected_y, expected_obj,
     MOI.set(optimizer, MOI.Silent(), true)
     @test MOI.get(optimizer, MOI.Silent())
     @test MOI.is_empty(optimizer)
-    @test isempty(MOI.get(optimizer, MOI.ListOfConstraints()))
+    @test isempty(MOI.get(optimizer, MOI.ListOfConstraintTypesPresent()))
     F = MOI.VectorOfVariables
     S = MCPSD.Elliptope
     @test MOI.get(optimizer, MOI.NumberOfConstraints{F, S}()) == 0
     @test isempty(MOI.get(optimizer, MOI.ListOfConstraintIndices{F, S}()))
-    @test MOI.supports_add_constrained_variables(optimizer, MCPSD.Elliptope)
     x, cx = MOI.add_constrained_variables(optimizer, MCPSD.Elliptope(size(L, 1)))
     @test !MOI.is_empty(optimizer)
     @test cx == MOI.ConstraintIndex{F, S}(1)
-    @test MOI.get(optimizer, MOI.ListOfConstraints()) == [(F, S)]
+    @test MOI.get(optimizer, MOI.ListOfConstraintTypesPresent()) == [(F, S)]
     @test MOI.get(optimizer, MOI.NumberOfConstraints{F, S}()) == 1
     @test MOI.get(optimizer, MOI.ListOfConstraintIndices{F, S}()) == [cx]
     @test all(x -> MOI.is_valid(optimizer, x), x)
@@ -71,15 +63,15 @@ function moi_test(optimizer, L::Matrix{T}, expected_X, expected_y, expected_obj,
     @test MOI.get(optimizer, MOI.ConstraintPrimal(), cx) ≈ expected_x atol=tol rtol=tol
     @test MOI.get(optimizer, MOI.ConstraintDual(), cx) ≈ expected_y atol=tol rtol=tol
     @test MOI.get(optimizer, MCPSD.NumberOfIterations()) == 19
-    @test MOI.get(optimizer, MOI.SolveTime()) isa Float64
-    @show MOI.get(optimizer, MOI.SolveTime())
+    @test MOI.get(optimizer, MOI.SolveTimeSec()) isa Float64
+    @show MOI.get(optimizer, MOI.SolveTimeSec())
 end
 
 @testset "[MOI_wrapper] Wikipedia example with $T" for T in [Float64, BigFloat]
     optimizer = MCPSD.Optimizer{T}()
     moi_test(optimizer, wikipedia_example(T)...)
+    cached = MOIU.CachingOptimizer(MCPSD.Optimizer{T}(), MOIU.AUTOMATIC)
     MOI.empty!(optimizer)
-    cached = MOIU.CachingOptimizer(MCPSD.Optimizer{T}(), optimizer)
-    moi_test(optimizer, wikipedia_example(T)...)
+    MOIU.reset_optimizer(cached, optimizer)
+    moi_test(cached, wikipedia_example(T)...)
 end
-
diff --git a/test/runtests.jl b/test/runtests.jl
index 3376330..fd54e5e 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -22,8 +22,8 @@ function direct_test(L::Matrix{T}, expected_X, expected_y, expected_obj, tol) wh
         @test y isa Vector{T}
         @test y ≈ expected_y atol=tol rtol=tol
         @test results[MCPSD.NumberOfIterations()] == 19
-        @test results[MOI.SolveTime()] isa Float64
-        @show results[MOI.SolveTime()]
+        @test results[MOI.SolveTimeSec()] isa Float64
+        @show results[MOI.SolveTimeSec()]
     end
 end