Skip to main content
Glama

Kubectl MCP Tool

setup.py1.35 kB
from setuptools import setup, find_packages with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setup( name="kubectl-mcp-tool", version="1.2.0", author="Rohit Ghumare", author_email="ghumare64@gmail.com", description="A Model Context Protocol (MCP) server for Kubernetes", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/rohitg00/kubectl-mcp-server", packages=find_packages(), install_requires=[ "mcp>=1.5.0", "pydantic>=2.0.0", "fastapi>=0.100.0", "uvicorn>=0.22.0", "kubernetes>=28.1.0", "PyYAML>=6.0.1", "requests>=2.31.0", "urllib3>=2.1.0", "websocket-client>=1.7.0", "jsonschema>=4.20.0", "cryptography>=42.0.2", "rich>=13.0.0", "aiohttp>=3.8.0", "aiohttp-sse>=2.1.0" ], entry_points={ "console_scripts": [ "kubectl-mcp=kubectl_mcp_tool.__main__:main", ], }, classifiers=[ "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ], python_requires=">=3.9", )

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/rohitg00/kubectl-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server