diff --git a/poetry.lock b/poetry.lock
index 221f1f5..97ca1d2 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
-version = "0.6.0"
+version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "annotated_types-0.6.0.tar.gz", hash = "sha256:563339e807e53ffd9c267e99fc6d9ea23eb8443c08f112651963e24e22f84a5d"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
 
 [package.dependencies]
@@ -16,31 +16,52 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
+    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
 ]
 
 [package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "black"
-version = "23.10.1"
+version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -54,7 +75,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)"]
+d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -85,63 +106,83 @@ files = [
 
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 name = "coverage"
-version = "7.3.2"
+version = "7.6.1"
 description = "Code coverage measurement for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-typing-extensions = ">=4.1.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 dmypy = ["psutil (>=4.0)"]
 install-types = ["pip"]
+mypyc = ["setuptools (>=50)"]
 reports = ["lxml"]
 
 [[package]]
@@ -231,50 +325,51 @@ files = [
 
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+version = "24.1"
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 ]
 
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+version = "0.12.1"
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+version = "4.2.2"
+description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
-python-versions = ">=3.7"
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+    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a6d511cc297ff0883bc3708b465ff82d7560193169a8b93260f74ecb0a5e08a7"},
+    {file = "pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4"},
 ]
 
 [package.dependencies]
@@ -420,13 +501,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pytest-7.4.3-py3-none-any.whl", hash = "sha256:0d009c083ea859a71b76adf7c1d502e4bc170b80a8ef002da5806527b9591fac"},
-    {file = "pytest-7.4.3.tar.gz", hash = "sha256:d989d136982de4e3b29dabcc838ad581c64e8ed52c11fbe86ddebd9da0818cd5"},
+    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
+    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
 ]
 
 [package.dependencies]
@@ -479,13 +560,13 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.8.0"
+version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
-    {file = "typing_extensions-4.8.0.tar.gz", hash = "sha256:df8e4339e9cb77357558cbdbceca33c303714cf861d1eef15e1070055ae8b7ef"},
+    {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
+    {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
 [[package]]
@@ -506,4 +587,4 @@ typing-extensions = ">=3.7.4"
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8,<4"
-content-hash = "b043a5de60e8ef27c527fd64a53b147dd0d394ec6eab35e3ad9732775fa5eb7f"
+content-hash = "163e48e2ab6f92910d165087322b59c3718f0e9ba0c2f18eb5db6c4e27ffd78b"
diff --git a/pyproject.toml b/pyproject.toml
index 0070c17..f01ac3f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "dataclass-settings"
-version = "0.3.1"
+version = "0.4.0"
 description = "Declarative dataclass settings."
 
 repository = "https://github.com/dancardin/dataclass-settings"
@@ -11,6 +11,8 @@ keywords = [
   "dataclass",
   "attrs",
   "pydantic",
+  "msgspec",
+  "env",
   "settings",
 ]
 classifiers = [
@@ -35,6 +37,7 @@ black = "^23.7.0"
 coverage = "^7.3.0"
 mypy = ">=1.0"
 pydantic = "*"
+msgspec = "*"
 pytest = "^7.4.0"
 ruff = "^0.0.286"
 
diff --git a/src/dataclass_settings/class_inspect.py b/src/dataclass_settings/class_inspect.py
index 9c2afe7..ffcd889 100644
--- a/src/dataclass_settings/class_inspect.py
+++ b/src/dataclass_settings/class_inspect.py
@@ -16,64 +16,58 @@
 
 
 def detect(cls: type) -> bool:
-    try:
-        return bool(ClassTypes.from_cls(cls))
-    except ValueError:
-        return False
+    return bool(ClassTypes.from_cls(cls))
 
 
-class ClassTypes(Enum):
-    dataclass = "dataclass"
-    pydantic = "pydantic"
-    pydantic_v1 = "pydantic_v1"
-    pydantic_dataclass = "pydantic_dataclass"
-    attrs = "attrs"
+@dataclasses.dataclass
+class Field:
+    name: str
+    type: type
+    annotations: tuple[Any, ...]
+    mapper: Callable[..., Any] | None = None
 
-    @classmethod
-    def from_cls(cls, obj: type) -> ClassTypes:
-        if hasattr(obj, "__pydantic_fields__"):
-            return cls.pydantic_dataclass
+    def get_loaders(self, loaders: tuple[Type[Loader], ...]):
+        for m in self.annotations:
+            if isinstance(m, loaders):
+                yield m
 
-        if dataclasses.is_dataclass(obj):
-            return cls.dataclass
+    def get_nested_type(self) -> Type | None:
+        if typing_inspect.is_union_type(self.type):
+            args = typing_inspect.get_args(self.type)
+        else:
+            args = [self.type]
 
+        unsupported_args = []
         try:
-            import pydantic
-        except ImportError:  # pragma: no cover
-            pass
-        else:
-            try:
-                is_base_model = isinstance(obj, type) and issubclass(
-                    obj, pydantic.BaseModel
-                )
-            except TypeError:
-                is_base_model = False
+            supported_arg = next(arg for arg in args if detect(arg))
+        except StopIteration:
+            supported_arg = None
 
-            if is_base_model:
-                if pydantic.__version__.startswith("1."):
-                    return cls.pydantic_v1
-                return cls.pydantic
+        for arg in args:
+            if arg is not supported_arg and detect(arg):
+                unsupported_args.append(arg)
 
-        if hasattr(obj, "__attrs_attrs__"):
-            return cls.attrs
+        if unsupported_args:
+            raise ValueError("Can only react to one thing a time", unsupported_args)
 
-        raise ValueError(  # pragma: no cover
-            f"'{cls}' is not a currently supported base class. "
-            "Must be one of: dataclass, pydantic, or attrs class."
-        )
+        return supported_arg
 
+    def map_value(self, value: str | dict[str, Any]):
+        if not self.mapper:
+            return value
 
-@dataclasses.dataclass
-class Field:
-    name: str
-    type: type
-    annotations: tuple[Any, ...]
-    mapper: Callable[..., Any] | None = None
+        if isinstance(value, str):
+            return self.mapper(value)
+
+        return self.mapper(**value)
 
+
+@dataclasses.dataclass
+class DataclassField(Field):
     @classmethod
-    def from_dataclass(cls, typ: Type, type_hints: dict[str, Type]) -> list[Self]:
+    def collect(cls, typ: type, type_hints: dict[str, Type]) -> list[Self]:
         fields = []
-        for f in typ.__dataclass_fields__.values():
+        for f in typ.__dataclass_fields__.values():  # type: ignore
             annotation = get_type(type_hints[f.name])
 
             annotation, args = get_annotation_args(annotation)
@@ -87,24 +81,57 @@ def from_dataclass(cls, typ: Type, type_hints: dict[str, Type]) -> list[Self]:
             fields.append(field)
         return fields
 
+
+@dataclasses.dataclass
+class AttrsField(Field):
     @classmethod
-    def from_pydantic(cls, typ: Type, type_hints: dict[str, Type]) -> list[Self]:
+    def collect(cls, typ: type, type_hints: dict[str, Type]) -> list[Self]:
         fields = []
-        for name, f in typ.model_fields.items():
-            annotation = get_type(type_hints[name])
-            mapper = annotation if detect(annotation) else None
+
+        for f in typ.__attrs_attrs__:  # type: ignore
+            annotation = get_type(type_hints[f.name])
+            annotation, args = get_annotation_args(annotation)
 
             field = cls(
-                name=name,
+                name=f.name,
                 type=annotation,
-                annotations=tuple(f.metadata),
+                annotations=args,
+                mapper=annotation,
+            )
+            fields.append(field)
+        return fields
+
+
+@dataclasses.dataclass
+class MsgspecField(Field):
+    @classmethod
+    def collect(cls, typ: type, type_hints: dict[str, Type]) -> list[Self]:
+        import msgspec
+
+        fields = []
+        for f in msgspec.structs.fields(typ):
+            annotation = get_type(type_hints[f.name])
+            annotation, args = get_annotation_args(annotation)
+
+            def splat_mapper(**value):
+                return msgspec.convert(value, annotation)
+
+            mapper = splat_mapper if detect(annotation) else annotation
+
+            field = cls(
+                name=f.name,
+                type=annotation,
+                annotations=args,
                 mapper=mapper,
             )
             fields.append(field)
         return fields
 
+
+@dataclasses.dataclass
+class PydanticV1Field(Field):
     @classmethod
-    def from_pydantic_v1(cls, typ: Type, type_hints: dict[str, Type]) -> list[Self]:
+    def collect(cls, typ, type_hints: dict[str, Type]) -> list[Self]:
         fields = []
         for name, f in typ.__fields__.items():
             annotation = get_type(type_hints[name])
@@ -121,13 +148,13 @@ def from_pydantic_v1(cls, typ: Type, type_hints: dict[str, Type]) -> list[Self]:
             fields.append(field)
         return fields
 
+
+@dataclasses.dataclass
+class PydanticV2Field(Field):
     @classmethod
-    def from_pydantic_dataclass(
-        cls, typ: Type, type_hints: dict[str, Type]
-    ) -> list[Self]:
+    def collect(cls, typ: type, type_hints: dict[str, Type]) -> list[Self]:
         fields = []
-
-        for name, f in typ.__pydantic_fields__.items():
+        for name, f in typ.model_fields.items():  # type: ignore
             annotation = get_type(type_hints[name])
             mapper = annotation if detect(annotation) else None
 
@@ -140,79 +167,79 @@ def from_pydantic_dataclass(
             fields.append(field)
         return fields
 
+
+@dataclasses.dataclass
+class PydanticV2DataclassField(Field):
     @classmethod
-    def from_attrs(cls, typ: Type, type_hints: dict[str, Type]) -> list[Self]:
+    def collect(cls, typ: type, type_hints: dict[str, Type]) -> list[Self]:
         fields = []
 
-        for f in typ.__attrs_attrs__:
-            annotation = get_type(type_hints[f.name])
-            annotation, args = get_annotation_args(annotation)
+        for name, f in typ.__pydantic_fields__.items():  # type: ignore
+            annotation = get_type(type_hints[name])
+            mapper = annotation if detect(annotation) else None
 
             field = cls(
-                name=f.name,
+                name=name,
                 type=annotation,
-                annotations=args,
-                mapper=annotation,
+                annotations=tuple(f.metadata),
+                mapper=mapper,
             )
             fields.append(field)
         return fields
 
-    def get_loaders(self, loaders: tuple[Type[Loader], ...]):
-        for m in self.annotations:
-            if isinstance(m, loaders):
-                yield m
-
-    def get_nested_type(self) -> Type | None:
-        if typing_inspect.is_union_type(self.type):
-            args = typing_inspect.get_args(self.type)
-        else:
-            args = [self.type]
-
-        unsupported_args = []
-        try:
-            supported_arg = next(arg for arg in args if detect(arg))
-        except StopIteration:
-            supported_arg = None
-
-        for arg in args:
-            if arg is not supported_arg and detect(arg):
-                unsupported_args.append(arg)
-
-        if unsupported_args:
-            raise ValueError("Can only react to one thing a time", unsupported_args)
 
-        return supported_arg
-
-    def map_value(self, value: str | dict[str, Any]):
-        if not self.mapper:
-            return value
+def fields(cls: type):
+    class_type = ClassTypes.from_cls(cls)
+    if class_type is None:  # pragma: no cover
+        raise ValueError(
+            f"'{cls.__qualname__}' is not a currently supported kind of class. "
+            "Must be one of: dataclass, pydantic, or attrs class."
+        )
 
-        if isinstance(value, str):
-            return self.mapper(value)
+    type_hints = get_type_hints(cls, include_extras=True)
+    return class_type.value.collect(cls, type_hints)
 
-        return self.mapper(**value)
 
+class ClassTypes(Enum):
+    attrs = AttrsField
+    dataclass = DataclassField
+    pydantic_v1 = PydanticV1Field
+    pydantic_v2 = PydanticV2Field
+    pydantic_v2_dataclass = PydanticV2DataclassField
+    msgspec = MsgspecField
 
-def fields(cls: type):
-    class_type = ClassTypes.from_cls(cls)
+    @classmethod
+    def from_cls(cls, obj: type) -> ClassTypes | None:
+        if hasattr(obj, "__pydantic_fields__"):
+            return cls.pydantic_v2_dataclass
 
-    type_hints = get_type_hints(cls, include_extras=True)
-    if class_type == ClassTypes.dataclass:
-        return Field.from_dataclass(cls, type_hints)
+        if dataclasses.is_dataclass(obj):
+            return cls.dataclass
 
-    if class_type == ClassTypes.pydantic:
-        return Field.from_pydantic(cls, type_hints)
+        if hasattr(obj, "__struct_config__"):
+            assert obj.__struct_config__.__class__.__module__.startswith("msgspec")
+            return cls.msgspec
 
-    if class_type == ClassTypes.pydantic_v1:
-        return Field.from_pydantic_v1(cls, type_hints)
+        try:
+            import pydantic
+            from pydantic import BaseModel
+        except ImportError:  # pragma: no cover
+            pass
+        else:
+            try:
+                is_base_model = isinstance(obj, type) and issubclass(obj, BaseModel)
+            except TypeError:  # pragma: no cover
+                is_base_model = False
 
-    if class_type == ClassTypes.pydantic_dataclass:
-        return Field.from_pydantic_dataclass(cls, type_hints)
+            if is_base_model:
+                if pydantic.__version__.startswith("1."):
+                    return cls.pydantic_v1
+                return cls.pydantic_v2
 
-    if class_type == ClassTypes.attrs:
-        return Field.from_attrs(cls, type_hints)
+        if hasattr(obj, "__attrs_attrs__"):
+            return cls.attrs
 
-    raise NotImplementedError()  # pragma: no cover
+        return None
 
 
 def get_type(typ):
diff --git a/tests/class_types/test_msgspec.py b/tests/class_types/test_msgspec.py
new file mode 100644
index 0000000..92d477c
--- /dev/null
+++ b/tests/class_types/test_msgspec.py
@@ -0,0 +1,60 @@
+from decimal import Decimal
+
+import pytest
+from dataclass_settings import Env, load_settings
+from msgspec import Struct
+from typing_extensions import Annotated
+
+from tests.utils import env_setup
+
+
+def test_missing_required():
+    class Config(Struct):
+        foo: Annotated[str, Env("FOO")]
+
+    with env_setup({}), pytest.raises(TypeError):
+        load_settings(Config)
+
+
+def test_has_required_required():
+    class Config(Struct):
+        foo: Annotated[str, Env("FOO")]
+        ignoreme: str = "asdf"
+
+    with env_setup({"FOO": "1", "VALUE": "two"}):
+        config = load_settings(Config)
+
+    assert config == Config(foo="1", ignoreme="asdf")
+
+
+def test_nested():
+    class Sub(Struct):
+        foo: Annotated[str, Env("FOO")]
+
+    class Config(Struct):
+        sub: Sub
+
+    with env_setup({"FOO": "3"}):
+        config = load_settings(Config)
+
+    assert config == Config(sub=Sub(foo="3"))
+
+
+def test_map_int():
+    class Config(Struct):
+        foo: Annotated[int, Env("FOO")]
+
+    with env_setup({"FOO": "3"}):
+        config = load_settings(Config)
+
+    assert config == Config(foo=3)
+
+
+def test_map_decimal():
+    class Config(Struct):
+        foo: Annotated[Decimal, Env("FOO")]
+
+    with env_setup({"FOO": "3"}):
+        config = load_settings(Config)
+
+    assert config == Config(foo=Decimal("3"))