[project]
name = "lumino-mcp-server"
version = "0.9.2"
description = "An open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments."
readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [
{name = "Lumino Team"}
]
keywords = ["mcp", "kubernetes", "openshift", "tekton", "monitoring", "ai", "sre", "observability", "pipelines"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: Apache Software License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
]
dependencies = [
"aiohttp>=3.12.2",
"kubernetes>=32.0.1",
"mcp[cli]>=1.10.1",
"pandas>=2.0.0",
"numpy>=1.24.0",
"scikit-learn>=1.6.1",
"prometheus-client>=0.22.0",
"pyyaml>=6.0.2",
"requests>=2.31.0",
"python-dotenv>=1.1.0",
"pydantic>=2.11.5",
"uvicorn>=0.30.0",
"starlette>=0.30.0",
"networkx>=3.0",
]
[project.urls]
Homepage = "https://github.com/spre-sre/lumino-mcp-server"
Repository = "https://github.com/spre-sre/lumino-mcp-server"
Issues = "https://github.com/spre-sre/lumino-mcp-server/issues"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src"]
# MCP Registry integration
[tool.mcp]
name = "io.github.geored/lumino"
[tool.uv]
dev-dependencies = [
"pytest>=7.0.0",
"pytest-asyncio>=0.21.0",
]
