Qdrant MCP Server

from setuptools import setup, find_packages with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setup( name="qdrant-mcp-server", version="1.0.0", author="KinDash Team", author_email="support@kindash.app", description="MCP server for semantic code search using Qdrant vector database", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/kindash/qdrant-mcp-server", packages=find_packages(where="src"), package_dir={"": "src"}, classifiers=[ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "Topic :: Software Development :: Libraries :: Python Modules", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.8", "Programming Language :: Python :: 3.9", "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", ], python_requires=">=3.8", install_requires=[ "openai>=1.0.0", "qdrant-client>=1.7.0", "tiktoken>=0.5.0", "python-dotenv>=1.0.0", "click>=8.0.0", "rich>=13.0.0", "pathspec>=0.11.0", ], entry_points={ "console_scripts": [ "qdrant-mcp=mcp_qdrant_openai_wrapper:main", "qdrant-indexer=qdrant_openai_indexer:main", ], }, include_package_data=True, )