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

[project]
name = "mne-mcp"
dynamic = ["version"]
description = "A Model Context Protocol server for MNE-Python neurophysiology analysis (EEG / MEG / sEEG / ECoG / fNIRS)"
readme = "README.md"
authors = [
    { name = "MNE MCP Contributors" }
]
license = {text = "MIT"}
requires-python = ">=3.10"
classifiers = [
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Scientific/Engineering :: Medical Science Apps.",
    "Topic :: Scientific/Engineering :: Information Analysis",
]
# Hard dependencies are only the lightweight protocol layer, so a fresh
# `pip install mne-mcp` (or pipx / uv tool / uvx) is near-instant. The heavy
# scientific stack lives in the `analysis` extra and is installed up front via
# `mne-mcp[analysis|ica|full]` OR on demand at runtime with `mne-mcp install-backend`
# / the `mne_install_backend` tool (which pip-installs into the server's own env
# and invalidates import caches so it works without a restart).
dependencies = [
    "mcp>=1.2.0",
    "fastmcp>=2.14.0",
    "python-dotenv>=1.0.0",
    "pydantic>=2.0.0",
]

[project.urls]
Homepage = "https://github.com/Exekiel179/MNE-MCP"
Repository = "https://github.com/Exekiel179/MNE-MCP"
Issues = "https://github.com/Exekiel179/MNE-MCP/issues"

[project.optional-dependencies]
# The analysis backend. Keep these lists in sync with PROFILES in
# src/mne_mcp/backend.py (tests/test_backend.py fails if they drift).
analysis = [
    "mne>=1.6.0",
    "numpy>=1.23.0",
    "scipy>=1.9.0",
    "matplotlib>=3.6.0",
    "pandas>=2.0.0",
    "tabulate>=0.9.0",
]
ica = [
    "mne-mcp[analysis]",
    "scikit-learn>=1.1.0",
]
# Everything needed for the advanced analysis tools (source localization,
# connectivity, decoding, BIDS, autoreject, extra readers, 3D rendering).
full = [
    "mne-mcp[ica]",
    "mne-connectivity>=0.5",
    "mne-bids>=0.13",
    "autoreject>=0.4",
    "nibabel>=5.0",
    "pymatreader>=0.0.30",
    "edfio>=0.4",
    "h5io>=0.2",
    "pyvista>=0.43",
    "python-picard>=0.7",
]
dev = [
    "pytest>=7.0.0",
    "pytest-asyncio>=0.23.0",
    "black>=23.0.0",
    "isort>=5.12.0",
    "tomli>=2.0; python_version < '3.11'",
    "pytest-cov>=4.0",
]

[project.scripts]
mne-mcp = "mne_mcp.cli:main"

[tool.hatch.version]
path = "src/mne_mcp/_version.py"

[tool.hatch.build.targets.wheel]
packages = ["src/mne_mcp"]

[tool.hatch.build.targets.wheel.force-include]
# Ship the companion skills + subagents inside the wheel so a plain
# `pip install mne-mcp` carries them; `mne-mcp setup` installs from this copy.
"skills" = "mne_mcp/_bundled/skills"
"agents" = "mne_mcp/_bundled/agents"

[tool.black]
line-length = 88
target-version = ["py310"]

[tool.isort]
profile = "black"

[tool.pytest.ini_options]
asyncio_mode = "auto"