fix: catch PydanticUserError when generating output schema (pydantic 2.13 compat) (#2434)

src/mcp/server/mcpserver/utilities/func_metadata.py

@@ -9,7 +9,7 @@ from typing import Annotated, Any, cast, get_args, get_origin, get_type_hints
 import anyio
 import anyio.to_thread
 import pydantic_core
-from pydantic import BaseModel, ConfigDict, Field, WithJsonSchema, create_model
+from pydantic import BaseModel, ConfigDict, Field, PydanticUserError, WithJsonSchema, create_model
 from pydantic.fields import FieldInfo
 from pydantic.json_schema import GenerateJsonSchema, JsonSchemaWarningKind
 from typing_extensions import is_typeddict
@@ -402,9 +402,16 @@ def _try_create_model_and_schema(
         # Use StrictJsonSchema to raise exceptions instead of warnings
         try:
             schema = model.model_json_schema(schema_generator=StrictJsonSchema)
-        except (TypeError, ValueError, pydantic_core.SchemaError, pydantic_core.ValidationError) as e:
+        except (
+            PydanticUserError,
+            TypeError,
+            ValueError,
+            pydantic_core.SchemaError,
+            pydantic_core.ValidationError,
+        ) as e:
             # These are expected errors when a type can't be converted to a Pydantic schema
-            # TypeError: When Pydantic can't handle the type
+            # PydanticUserError: When Pydantic can't handle the type (e.g. PydanticInvalidForJsonSchema);
+            #   subclasses TypeError on pydantic <2.13 and RuntimeError on pydantic >=2.13
             # ValueError: When there are issues with the type definition (including our custom warnings)
             # SchemaError: When Pydantic can't build a schema
             # ValidationError: When validation fails