diff --git a/src/MOI_wrapper.jl b/src/MOI_wrapper.jl
index 293946710..ec711e8f0 100644
--- a/src/MOI_wrapper.jl
+++ b/src/MOI_wrapper.jl
@@ -132,6 +132,23 @@ function MOI.supports_constraint(
     return true
 end
 
+function MOI.get(
+    ::Optimizer,
+    ::MOI.ConstraintBridgingCost{
+        MOI.VectorNonlinearFunction,
+        <:MOI.AbstractVectorSet,
+    },
+)
+    # Must agree with `supports_constraint` above: the generic
+    # `MOI.get(::Optimizer, ::AbstractModelAttribute)` would otherwise forward
+    # this query to the inner model, which does not handle
+    # `VectorNonlinearFunction` and would return `Inf`. `LazyBridgeOptimizer`
+    # then sees `supports = true, cost = Inf` and treats the node as
+    # unreachable when building the bridge graph.
+    # See https://github.com/jump-dev/MathOptInterface.jl/pull/3001
+    return 0.0
+end
+
 function _expr(::Optimizer, v::Value)
     return Constant(v)
 end
diff --git a/test/MOI_wrapper.jl b/test/MOI_wrapper.jl
index 66f8c7dd5..7fa25d27b 100644
--- a/test/MOI_wrapper.jl
+++ b/test/MOI_wrapper.jl
@@ -58,6 +58,25 @@ function test_issue_564()
     return
 end
 
+function test_constraint_bridging_cost_vector_nonlinear()
+    model = Convex.Optimizer(ECOS.Optimizer)
+    for S in (
+        MOI.Nonnegatives,
+        MOI.Nonpositives,
+        MOI.Zeros,
+        MOI.SecondOrderCone,
+        MOI.PositiveSemidefiniteConeTriangle,
+        MOI.ExponentialCone,
+    )
+        @test MOI.supports_constraint(model, MOI.VectorNonlinearFunction, S)
+        @test MOI.get(
+            model,
+            MOI.ConstraintBridgingCost{MOI.VectorNonlinearFunction,S}(),
+        ) == 0.0
+    end
+    return
+end
+
 function test_scalar_nonlinear_function()
     model = Convex.Optimizer(ECOS.Optimizer)
     x = MOI.add_variable(model)