feat(infra): langchain docs MCP (#33636)

.mcp.json

@@ -0,0 +1,8 @@
+{
+  "mcpServers": {
+    "docs-langchain": {
+      "type": "http",
+      "url": "https://docs.langchain.com/mcp"
+    }
+  }
+}

libs/text-splitters/langchain_text_splitters/base.py

@@ -170,7 +170,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
     def from_huggingface_tokenizer(
         cls, tokenizer: PreTrainedTokenizerBase, **kwargs: Any
     ) -> TextSplitter:
-        """Text splitter that uses HuggingFace tokenizer to count length."""
+        """Text splitter that uses Hugging Face tokenizer to count length."""
         if not _HAS_TRANSFORMERS:
             msg = (
                 "Could not import transformers python package. "