diff --git a/simple/tools/rsi2legacy.py b/simple/tools/rsi2legacy.py
new file mode 100644
index 00000000..51a2f94f
--- /dev/null
+++ b/simple/tools/rsi2legacy.py
@@ -0,0 +1,142 @@
+# Copyright 2023 Google Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from absl import app
+from absl import flags
+
+import glob
+import json
+import os
+import csv
+
+FLAGS = flags.FLAGS
+
+flags.DEFINE_string('input_path', '', 'Path with RSI stuff')
+flags.DEFINE_string('output_path', '', 'Path for producing tmcf and mcf files')
+
+
+def generate_tmcf(input_path, output_path):
+   for filepath in glob.glob(os.path.join(input_path, '*.csv')):
+        with open(filepath, 'r') as csvfile:
+            obs_abt = ''
+            obs_date = ''
+            vars = []
+
+            header = csv.DictReader(csvfile).fieldnames
+            for h in header:
+                if h in ['dcid', 'country', 'observationAbout']:
+                    obs_abt = h
+                elif h in ['year', 'date', 'observationDate']:
+                    obs_date = h
+                else:
+                    vars.append(h)
+
+            if not obs_abt or not obs_date or not vars:
+                print(f'ERROR: Did not find observationAbout ({obs_abt}), observationDate ({obs_date}), or variables ({len(vars)})')
+                continue
+
+            nodes = []
+            for i, var in enumerate(vars):
+                parts = [
+                        f'Node: E:Table->E{i}',
+                        f'typeOf: dcs:StatVarObservation',
+                        f'observationAbout: C:Table->{obs_abt}',
+                        f'observationDate: C:Table->{obs_date}',
+                        f'variableMeasured: dcs:{var}',
+                        f'value: C:Table->{var}',
+                        ''
+                ]
+                nodes.append('\n'.join(parts))
+
+            fname = os.path.basename(filepath).replace('.csv', '.tmcf')
+            _write_mcf(output_path, fname, nodes)
+
+
+def generate_vars(input_path, output_path):
+    with open(os.path.join(input_path, 'config.json')) as fp:
+        variable_map = json.load(fp)['variables']
+    
+    svgs_emitted = set()
+    svs = []
+    svgs = []
+    for sv in sorted(variable_map.keys()):
+        data = variable_map[sv]
+        sv_parts = [
+            f'Node: dcid:{sv}',
+            'typeOf: dcs:StatisticalVariable',
+            'populationType: schema:Thing',
+            f'measuredProperty: dcs:{sv}',
+        ]
+        if data.get('name'):
+            sv_parts.append('name: "' + data['name'] + '"')
+        if data.get('description'):
+            sv_parts.append('description: "' + data['description'] + '"')
+
+        svg = data.get('group')
+        if svg:
+            sv_parts.append(f'memberOf: dcs:{_svg_dcid(svg)}')
+
+            path_parts = svg.split('/')
+            for i, part in enumerate(path_parts):
+                cur = '/'.join(path_parts[:i+1])
+                par = ''
+                if i > 0:
+                    par = '/'.join(path_parts[:i])
+                if cur in svgs_emitted:
+                    continue
+                svgs.append(_svg_node(cur, par, part))
+                svgs_emitted.add(cur)
+        
+        svs.append('\n'.join(sv_parts) + '\n')
+    
+    _write_mcf(output_path, 'variables.mcf', svs)
+    _write_mcf(output_path, 'variable_groups.mcf', svgs)
+
+
+def _write_mcf(folder, file, nodes):
+    with open(os.path.join(folder, file), 'w') as fp:
+        fp.write('\n'.join(nodes))
+
+
+# Input is of the form "ONE/Health/Health Expenditure".
+# Corresponding output is of form: "ONE/g/Health/Health_Expenditure"
+def _svg_dcid(grp):
+    grp = grp.replace(' ', '')
+    if '/' in grp:
+        left, right = grp.split('/', 1)
+        return f'{left}/g/{right}'
+    else:
+        return f'{grp}/g/Root'
+
+
+def _svg_node(cur, parent, name):
+    cur_id = _svg_dcid(cur)
+    svg_parts = [
+        f'Node: dcid:{cur_id}',
+        'typeOf: dcs:StatVarGroup',
+        f'name: "{name}"',
+    ]
+    if parent:
+        par_id = _svg_dcid(parent)
+        svg_parts.append(f'specializationOf: dcs{par_id}')
+    return '\n'.join(svg_parts) + '\n'
+
+
+def main(_):
+  assert FLAGS.input_path and FLAGS.output_path
+  generate_tmcf(FLAGS.input_path, FLAGS.output_path)
+  generate_vars(FLAGS.input_path, FLAGS.output_path)
+
+if __name__ == "__main__":
+  app.run(main)
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