Pyproject .TOML

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "lex-mcp"
version = "0.1.0"
description = "Assistente jurídico via MCP + Hugging Face Hub — busca modelos, explora datasets de jurisprudência, analisa textos legais e roda inferência NLP ao vivo."
readme = "README.md"
license = { text = "Apache-2.0" }
requires-python = ">=3.10"
keywords = ["legal", "nlp", "mcp", "huggingface", "jurisprudência", "direito", "model-context-protocol"]
classifiers = [
    "Development Status :: 3 - Alpha",
    "Intended Audience :: Legal Industry",
    "Intended Audience :: Developers",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Natural Language :: Portuguese (Brazilian)",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
]

dependencies = [
    "fastmcp>=0.4.0",
    "huggingface-hub>=0.23.0",
    "datasets>=2.19.0",
    "httpx>=0.27.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=8.0",
    "pytest-asyncio>=0.23",
    "ruff>=0.4",
    "mypy>=1.10",
]

[project.scripts]
lex-mcp = "server:mcp.run"

[project.urls]
Homepage  = "https://huggingface.co/spaces/youruser/lex-mcp"
Issues    = "https://github.com/youruser/lex-mcp/issues"

[tool.hatch.build.targets.wheel]
packages = ["."]

[tool.ruff]
line-length = 100
target-version = "py310"

[tool.ruff.lint]
select = ["E", "F", "I", "UP"]

[tool.mypy]
python_version = "3.10"
strict = true
ignore_missing_imports = true