diff --git a/tensorflow/compiler/tf2xla/BUILD b/tensorflow/compiler/tf2xla/BUILD
index bf6406a796b..cac72925dfd 100644
--- a/tensorflow/compiler/tf2xla/BUILD
+++ b/tensorflow/compiler/tf2xla/BUILD
@@ -704,6 +704,7 @@ cc_library(
     srcs = ["mlir_bridge_pass.cc"],
     hdrs = ["mlir_bridge_pass.h"],
     deps = [
+        "//tensorflow/compiler/jit:flags",
         "//tensorflow/compiler/mlir:mlir_graph_optimization_pass",
         "//tensorflow/compiler/mlir/tensorflow",
         "//tensorflow/core:core_cpu",
diff --git a/tensorflow/compiler/tf2xla/mlir_bridge_pass.cc b/tensorflow/compiler/tf2xla/mlir_bridge_pass.cc
index c398e5f129e..eefef26dc24 100644
--- a/tensorflow/compiler/tf2xla/mlir_bridge_pass.cc
+++ b/tensorflow/compiler/tf2xla/mlir_bridge_pass.cc
@@ -56,7 +56,7 @@ Status MlirBridgeV1CompatPass::Run(const GraphOptimizationPassOptions& options,
   // Skip function graphs as MlirBridgePass will be used instead.
   if (options.is_function_graph) return Status::OK();
 
-  if (!options.session_options->config.experimental().enable_mlir_bridge()) {
+  if (!IsEnabled(options.session_options->config)) {
     VLOG(0) << "Skipping MLIR TPU Bridge V1 Compat, session flag not enabled";
     mlir_bridge_gauge_v1->GetCell()->Set(false);
     return Status::OK();
diff --git a/tensorflow/compiler/tf2xla/mlir_bridge_pass.h b/tensorflow/compiler/tf2xla/mlir_bridge_pass.h
index b7f8ef203f7..f7541e634d4 100644
--- a/tensorflow/compiler/tf2xla/mlir_bridge_pass.h
+++ b/tensorflow/compiler/tf2xla/mlir_bridge_pass.h
@@ -17,6 +17,7 @@ limitations under the License.
 #define TENSORFLOW_COMPILER_TF2XLA_MLIR_BRIDGE_PASS_H_
 
 #include "llvm/ADT/StringRef.h"
+#include "tensorflow/compiler/jit/flags.h"
 #include "tensorflow/compiler/mlir/mlir_graph_optimization_pass.h"
 
 namespace tensorflow {
@@ -45,7 +46,8 @@ class MlirBridgeV1CompatPass : public MlirV1CompatOptimizationPass {
   llvm::StringRef name() const override { return "bridge"; }
 
   bool IsEnabled(const ConfigProto& config_proto) const override {
-    return config_proto.experimental().enable_mlir_bridge();
+    return config_proto.experimental().enable_mlir_bridge() ||
+           tensorflow::GetMlirCommonFlags()->tf_mlir_enable_mlir_bridge;
   }
 
   // This should be used as a thin mapper around mlir::ModulePass::runOnModule