pyproject.toml•1.5 kB
[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "scenext-mcp"
dynamic = ["version"]
description = "Scenext MCP Server - AI视频生成服务的MCP服务器"
readme = "README.md"
license = "MIT"
authors = [
{name = "Scenext", email = "support@lynkframe.com"}
]
classifiers = [
"Development Status :: 4 - Beta",
"Intended Audience :: Developers",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Internet :: WWW/HTTP :: HTTP Servers",
"Topic :: Multimedia :: Video",
]
requires-python = ">=3.10"
dependencies = [
"fastmcp>=2.6.1",
"aiohttp>=3.12.6",
"python-dotenv>=1.0.0",
]
keywords = ["mcp", "model-context-protocol", "ai", "video", "generation", "scenext"]
[project.urls]
Homepage = "https://github.com/typing233/scenext-mcp"
Repository = "https://github.com/typing233/scenext-mcp"
Documentation = "https://github.com/typing233/scenext-mcp"
"Bug Reports" = "https://github.com/typing233/scenext-mcp/issues"
[project.scripts]
scenext-mcp = "scenext_mcp.server:main"
[tool.setuptools]
packages = ["scenext_mcp"]
include-package-data = true
[tool.setuptools.dynamic]
version = {attr = "scenext_mcp._version.__version__"}
[tool.setuptools.package-data]
scenext_mcp = ["*.json", "*.md"]