Vectara MCP server

from setuptools import setup, find_packages setup( name="vectara-mcp", # Replace with your package name version="0.1.3", # Start with an initial version description="Open source MCP server for Vectara", long_description=open("README.md").read(), long_description_content_type="text/markdown", author="Ofer Mendelevitch", author_email="ofer@vectara.com", url="https://github.com/vectara/vectara-mcp", packages=find_packages(), # Automatically find all packages install_requires=[ "mcp>=1.6.0", "uvicorn>=0.34.0", "vectara>=0.2.44", ], classifiers=[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: Apache Software License", "Operating System :: OS Independent", "Programming Language :: Python :: 3.11", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Text Processing :: Linguistic", ], python_requires=">=3.11", # Specify the minimum Python version entry_points={ "console_scripts": [ "vectara-mcp=vectara_mcp.server:main", ], }, keywords="vectara, mcp, rag, ai, search, semantic-search", project_urls={ "Bug Reports": "https://github.com/vectara/vectara-mcp/issues", "Source": "https://github.com/vectara/vectara-mcp", }, )