feat(cell validation): add comprehensive data validation capabilities (#37)

- Add cell_validation.py module for Excel data validation metadata extraction
- Implement get_data_validation_for_cell() and get_all_validation_ranges()
- Include validation metadata in read_data_from_excel responses automatically
- Add get_data_validation_info MCP tool for validation rule summaries
- Resolve range references in list validations to actual cell values
- Support all validation types: list, whole, decimal, date, time, textLength
- Include operators (between, notBetween, equal, greaterThan, etc.) in metadata

This allows LLMs to understand Excel validation constraints including
dropdown options, numeric ranges, date constraints, and text length limits.

uv.lock

@@ -1,5 +1,4 @@
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 requires-python = ">=3.10"
 
 [[package]]
@@ -67,17 +66,19 @@ wheels = [
 
 [[package]]
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+version = "0.1.3"
 source = { editable = "." }
 dependencies = [
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     { name = "openpyxl" },
+    { name = "typer" },
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 [package.metadata]
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+    { name = "mcp", extras = ["cli"], specifier = ">=1.6.0" },
     { name = "openpyxl", specifier = ">=3.1.2" },
+    { name = "typer", specifier = ">=0.15.1" },
 ]
 
 [[package]]
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@@ -166,13 +167,14 @@ dependencies = [
     { name = "httpx-sse" },
     { name = "pydantic" },
     { name = "pydantic-settings" },
+    { name = "python-multipart" },
     { name = "sse-starlette" },
     { name = "starlette" },
-    { name = "uvicorn" },
+    { name = "uvicorn", marker = "sys_platform != 'emscripten'" },
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+sdist = { url = "https://files.pythonhosted.org/packages/e7/bc/54aec2c334698cc575ca3b3481eed627125fb66544152fa1af927b1a495c/mcp-1.9.1.tar.gz", hash = "sha256:19879cd6dde3d763297617242888c2f695a95dfa854386a6a68676a646ce75e4", size = 316247 }
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