MaverickMCP

#!/usr/bin/env python from setuptools import find_packages, setup # Read the contents of the README file with open("README.md", encoding="utf-8") as f: long_description = f.read() # Read the project metadata from pyproject.toml (for dependencies) # This is a simple implementation; in a production setup you might want to use tomli dependencies = [] with open("pyproject.toml") as f: content = f.read() # Find the dependencies section if "dependencies = [" in content: dependencies_section = content.split("dependencies = [")[1].split("]")[0] # Extract each dependency for line in dependencies_section.strip().split("\n"): dep = line.strip().strip(",").strip('"').strip("'") if dep and not dep.startswith("#"): dependencies.append(dep) setup( name="maverick_mcp", version="0.1.0", description="Maverick-MCP is a Python MCP server for financial market analysis and trading strategies.", long_description=long_description, long_description_content_type="text/markdown", author="MaverickMCP Contributors", author_email="", url="https://github.com/wshobson/maverick-mcp", packages=find_packages(), include_package_data=True, python_requires=">=3.12", install_requires=dependencies, classifiers=[ "Development Status :: 3 - Alpha", "Intended Audience :: Developers", "Intended Audience :: Financial and Insurance Industry", "License :: OSI Approved :: MIT License", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.12", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Office/Business :: Financial :: Investment", ], # No console scripts needed as we're running the API server directly )