mcp/src/git-repo-research-mcp-server/pyproject.toml at main · ClintEastman02/mcp · GitHub

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[project]
name = "awslabs.git-repo-research-mcp-server"
version = "1.0.15"
description = "An AWS Labs Model Context Protocol (MCP) server for researching git repositories"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
    "boto3>=1.37.26",
    "backoff>=2.2.1",
    "faiss-cpu>=1.10.0",
    "gitpython>=3.1.44",
    "loguru>=0.7.3",
    "mcp[cli]>=1.23.0",
    "pydantic>=2.10.6",
    "langchain>=0.3.22",
    "langchain_aws>=0.2.18",
    "langchain_community>=0.3.20",
    "requests>=2.32.0",
    "h11>=0.16.0",
]
license = {text = "Apache-2.0"}
license-files = ["LICENSE", "NOTICE" ]

authors = [
    {name = "Amazon Web Services"},
    {name = "AWSLabs MCP", email="203918161+awslabs-mcp@users.noreply.github.com"},
]
classifiers = [
    "License :: OSI Approved :: Apache Software License",
    "Operating System :: OS Independent",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Programming Language :: Python :: 3.13",
]

[tool.uv]
override-dependencies = [
  "virtualenv>=20.36.1", # Temporary forced a higher version because 20.33.1 from CVE-2026-22702
  "multidict>=6.4.0", # Temporary forced a higher version because 6.3.2 was yanked
]

[project.scripts]
"awslabs.git-repo-research-mcp-server" = "awslabs.git_repo_research_mcp_server.server:main"

[project.urls]
Homepage = "https://awslabs.github.io/mcp/"
Documentation = "https://awslabs.github.io/mcp/servers/git-repo-research-mcp-server/"
Source = "https://github.com/awslabs/mcp.git"
"Bug Tracker" = "https://github.com/awslabs/mcp/issues"
Changelog = "https://github.com/awslabs/mcp/blob/main/src/git-repo-research-mcp-server/CHANGELOG.md"

[dependency-groups]
dev = [
    "commitizen>=4.2.2",
    "pre-commit>=4.1.0",
    "ruff>=0.9.7",
    "pyright>=1.1.398",
    "pytest>=7.4.0",
    "pytest-cov>=4.1.0",
    "pytest-mock>=3.11.1",
    "pytest-asyncio>=0.26.0",
]

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

[tool.hatch.metadata]
allow-direct-references = true

[tool.ruff]
line-length = 99
extend-include = ["*.ipynb"]
exclude = [
    ".venv",
    "**/__pycache__",
    "**/node_modules",
    "**/dist",
    "**/build",
    "**/env",
    "**/.ruff_cache",
    "**/.venv",
    "**/.ipynb_checkpoints"
]
force-exclude = true

[tool.ruff.lint]
exclude = ["__init__.py"]
select = ["C", "D", "E", "F", "I", "W"]
ignore = ["C901", "E501", "E741", "F402", "F823", "D100", "D106"]

[tool.ruff.lint.isort]
lines-after-imports = 2
no-sections = true

[tool.ruff.lint.per-file-ignores]
"**/*.ipynb" = ["F704"]

[tool.ruff.lint.pydocstyle]
convention = "google"

[tool.ruff.format]
quote-style = "single"
indent-style = "space"
skip-magic-trailing-comma = false
line-ending = "auto"
docstring-code-format = true

[tool.commitizen]
name = "cz_conventional_commits"
version = "0.0.0"
tag_format = "v$version"
version_files = [
    "pyproject.toml:version",
    "awslabs/git_repo_research_mcp_server/__init__.py:__version__"
]
update_changelog_on_bump = true

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

[tool.bandit]
exclude_dirs = [".venv","venv","tests"]

[tool.pytest.ini_options]
asyncio_mode = "strict"
asyncio_default_fixture_loop_scope = "function"
testpaths = ["tests"]
python_files = "test_*.py"
python_classes = "Test*"
python_functions = "test_*"
addopts = "--cov=awslabs.git-repo-research-mcp-server --cov-report=term-missing --run-github"
markers = [
    "live: mark test as making live API calls",
]
filterwarnings = [
    "ignore:numpy.core._multiarray_umath is deprecated and has been renamed to numpy._core._multiarray_umath. The numpy._core namespace contains private NumPy internals and its use is discouraged, as NumPy internals can change without warning in any release. In practice, most real-world usage of numpy.core is to access functionality in the public NumPy API. If that is the case, use the public NumPy API. If not, you are using NumPy internals. If you would still like to access an internal attribute, use numpy._core._multiarray_umath.__cpu_features__.:DeprecationWarning",
    "ignore:builtin type SwigPyPacked has no __module__ attribute:DeprecationWarning",
    "ignore:Failing to pass a value to the 'type_params' parameter of 'typing.ForwardRef._evaluate' is deprecated, as it leads to incorrect behaviour when calling typing.ForwardRef._evaluate on a stringified annotation that references a PEP 695 type parameter. It will be disallowed in Python 3.15:DeprecationWarning:pydantic",
    "ignore:builtin type SwigPyObject has no __module__ attribute:DeprecationWarning",
    "ignore:builtin type swigvarlink has no __module__ attribute:DeprecationWarning",
]

[tool.coverage.run]
source = ["awslabs"]