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pyproject.toml
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56 lines (49 loc) · 1.45 KB
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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "mcp-video"
version = "0.1.0"
description = "MCP server for video intelligence - analyze any video with AI vision"
readme = "README.md"
license = "MIT"
requires-python = ">=3.10"
authors = [
{ name = "Your Name", email = "you@example.com" },
]
keywords = ["mcp", "video", "ai", "llm", "claude", "vision", "youtube"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Multimedia :: Video",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
dependencies = [
"mcp>=1.0.0",
"yt-dlp>=2024.0.0",
"opencv-python-headless>=4.8.0",
"Pillow>=10.0.0",
]
[project.optional-dependencies]
whisper = ["openai-whisper>=20231117"]
dev = [
"pytest>=8.0",
"ruff>=0.4.0",
]
[project.urls]
Homepage = "https://github.com/ipythonist/mcp-video"
Repository = "https://github.com/ipythonist/mcp-video"
Issues = "https://github.com/ipythonist/mcp-video/issues"
[project.scripts]
mcp-video = "mcp_video.server:main"
[tool.ruff]
target-version = "py310"
line-length = 100
[tool.hatch.build.targets.wheel]
packages = ["src/mcp_video"]