Personal Knowledge Assistant

#!/usr/bin/env python3 """ Personal Knowledge Assistant MCP Server A comprehensive MCP server for managing personal information and communications. """ from setuptools import setup, find_packages import os # Read requirements from requirements.txt def read_requirements(): requirements_path = os.path.join(os.path.dirname(__file__), "requirements.txt") with open(requirements_path, "r", encoding="utf-8") as f: requirements = [] for line in f: line = line.strip() if line and not line.startswith("#"): requirements.append(line) return requirements # Read long description from README if it exists def read_long_description(): readme_path = os.path.join(os.path.dirname(__file__), "README.md") if os.path.exists(readme_path): with open(readme_path, "r", encoding="utf-8") as f: return f.read() return "Personal Knowledge Assistant MCP Server" setup( name="personal-knowledge-mcp", version="0.1.0", author="MCP Protocol Architect", author_email="noreply@example.com", description="MCP server for personal knowledge and communication management", long_description=read_long_description(), long_description_content_type="text/markdown", url="https://github.com/anthropic/personal-knowledge-mcp", packages=find_packages(where="src"), package_dir={"": "src"}, classifiers=[ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Communications", "Topic :: Office/Business", "Topic :: Scientific/Engineering :: Information Analysis", ], python_requires=">=3.9", install_requires=read_requirements(), extras_require={ "dev": [ "pytest>=7.4.0", "pytest-asyncio>=0.21.0", "black>=23.9.0", "isort>=5.12.0", "mypy>=1.6.0", "flake8>=6.1.0", ], "websocket": ["websockets>=12.0"], "sse": ["sse-starlette>=1.6.5"], }, entry_points={ "console_scripts": [ "personal-knowledge-mcp=main:main", ], }, include_package_data=True, zip_safe=False, )