diff --git a/dask_expr/_collection.py b/dask_expr/_collection.py
index a87e2849..5eb95e02 100644
--- a/dask_expr/_collection.py
+++ b/dask_expr/_collection.py
@@ -2673,6 +2673,11 @@ def __contains__(self, key):
     def __iter__(self):
         return iter(self._meta)
 
+    def __dataframe__(self, *args, **kwargs):
+        from dask_expr._interchange import DaskDataFrameInterchange
+
+        return DaskDataFrameInterchange(self)
+
     @derived_from(pd.DataFrame)
     def iterrows(self):
         frame = self.optimize()
diff --git a/dask_expr/_interchange.py b/dask_expr/_interchange.py
new file mode 100644
index 00000000..69cf923d
--- /dev/null
+++ b/dask_expr/_interchange.py
@@ -0,0 +1,62 @@
+from dask.dataframe._compat import is_string_dtype
+from dask.dataframe.dispatch import is_categorical_dtype
+from pandas.core.interchange.dataframe_protocol import DtypeKind
+
+from dask_expr._collection import DataFrame
+
+_NP_KINDS = {
+    "i": DtypeKind.INT,
+    "u": DtypeKind.UINT,
+    "f": DtypeKind.FLOAT,
+    "b": DtypeKind.BOOL,
+    "U": DtypeKind.STRING,
+    "M": DtypeKind.DATETIME,
+    "m": DtypeKind.DATETIME,
+}
+
+
+class DaskDataFrameInterchange:
+    def __init__(
+        self, df: DataFrame, nan_as_null: bool = False, allow_copy: bool = True
+    ) -> None:
+        self._df = df
+        self._nan_as_null = nan_as_null
+        self._allow_copy = allow_copy
+
+    def get_columns(self):
+        return [DaskColumn(self._df[name]) for name in self._df.columns]
+
+    def column_names(self):
+        return self._df.columns
+
+    def num_columns(self) -> int:
+        return len(self._df.columns)
+
+    def num_rows(self) -> int:
+        return len(self._df)
+
+
+class DaskColumn:
+    def __init__(self, column, allow_copy: bool = True) -> None:
+        self._col = column
+        self._allow_copy = allow_copy
+
+    def dtype(self) -> tuple[DtypeKind, None, None, None]:
+        dtype = self._col.dtype
+
+        if is_categorical_dtype(dtype):
+            return (
+                DtypeKind.CATEGORICAL,
+                None,
+                None,
+                None,
+            )
+        elif is_string_dtype(dtype):
+            return (
+                DtypeKind.STRING,
+                None,
+                None,
+                None,
+            )
+        else:
+            return _NP_KINDS.get(dtype.kind, None), None, None, None
diff --git a/dask_expr/tests/test_interchange.py b/dask_expr/tests/test_interchange.py
new file mode 100644
index 00000000..3db7c9d7
--- /dev/null
+++ b/dask_expr/tests/test_interchange.py
@@ -0,0 +1,18 @@
+from pandas.core.interchange.dataframe_protocol import DtypeKind
+
+from dask_expr import from_pandas
+from dask_expr.tests._util import _backend_library
+
+# Set DataFrame backend for this module
+pd = _backend_library()
+
+
+def test_interchange_protocol():
+    pdf = pd.DataFrame({"a": [1, 2, 3], "b": 1})
+    df = from_pandas(pdf, npartitions=2)
+    df_int = df.__dataframe__()
+    pd.testing.assert_index_equal(pdf.columns, df_int.column_names())
+    assert df_int.num_columns() == 2
+    assert df_int.num_rows() == 3
+    column = df_int.get_columns()[0]
+    assert column.dtype()[0] == DtypeKind.INT