pyproject.toml•1.75 kB
[project]
name = "mcp-jenkins"
version = "0.3.7"
description = "The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security."
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"mcp>=1.6.0",
"pydantic>=2.11.1",
"python-jenkins>=1.8.2",
"beautifulsoup4>=4.12.2",
]
[[project.authors]]
name = "lanbaoshen"
email = "lanbaoshen@icloud.com"
[project.scripts]
mcp-jenkins = "mcp_jenkins:main"
[dependency-groups]
dev = [
"mcp[cli]>=1.6.0",
"pre-commit>=4.2.0",
"pytest>=8.3.5",
"pytest-cov>=6.1.0",
"uv>=0.6.12",
]
[tool.uv]
package = true
[tool.ruff]
line-length = 120
indent-width = 4
target-version = "py313"
exclude = [
".bzr",
".direnv",
".eggs",
".git",
".git-rewrite",
".hg",
".ipynb_checkpoints",
".mypy_cache",
".nox",
".pants.d",
".pyenv",
".pytest_cache",
".pytype",
".ruff_cache",
".svn",
".tox",
".venv",
".vscode",
"__pypackages__",
"_build",
"buck-out",
"build",
"dist",
"node_modules",
"site-packages",
"venv",
]
lint.select = ["E", "F", "B", "W", "I", "N", "UP", "ANN", "S", "BLE", "FBT", "C4", "DTZ", "T10", "EM", "ISC", "ICN"]
lint.ignore = ["ANN401", "EM101", "N815"]
lint.fixable = ["ALL"]
lint.unfixable = []
lint.dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$"
lint.per-file-ignores."tests/**/*.py" = ["S", "ANN", "B017"]
format.quote-style = "single"
format.indent-style = "space"
format.skip-magic-trailing-comma = false
format.line-ending = "auto"