Skip to main content
Glama

PitchLense MCP

setup.py3.28 kB
""" Setup script for PitchLense MCP Package. A professional Python package for startup risk analysis using Model Context Protocol (MCP) and Google Gemini AI. """ from setuptools import setup, find_packages import os # Read the README file def read_readme(): 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 "PitchLense MCP - Professional Startup Risk Analysis MCP Package" # Read requirements def read_requirements(): requirements_path = os.path.join(os.path.dirname(__file__), "requirements.txt") if os.path.exists(requirements_path): with open(requirements_path, "r", encoding="utf-8") as f: return [line.strip() for line in f if line.strip() and not line.startswith("#")] return [] setup( name="pitchlense-mcp", version="1.1.1", author="Aman Ulla", author_email="connectamanulla@gmail.com", description="Professional startup risk analysis using MCP and Google Gemini AI", long_description=read_readme(), long_description_content_type="text/markdown", url="https://github.com/pitchlense/pitchlense-mcp", packages=find_packages(), classifiers=[ "Development Status :: 5 - Production/Stable", "Intended Audience :: Financial and Insurance Industry", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "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", "Topic :: Office/Business :: Financial :: Investment", "Topic :: Scientific/Engineering :: Artificial Intelligence", "Topic :: Software Development :: Libraries :: Python Modules", ], python_requires=">=3.8", install_requires=read_requirements(), extras_require={ "dev": [ "pytest>=7.0.0", "pytest-cov>=4.0.0", "flake8>=6.0.0", "mypy>=1.0.0", "pre-commit>=3.0.0", "isort>=5.12.0", "truffleHog3>=3.0.10", ], "docs": [ "sphinx>=6.0.0", "sphinx-rtd-theme>=1.2.0", "myst-parser>=1.0.0", ], }, entry_points={ "console_scripts": [ "pitchlense-mcp=pitchlense_mcp.cli:main", ], }, keywords=[ "startup", "risk", "analysis", "investment", "mcp", "model-context-protocol", "gemini", "ai", "machine-learning", "due-diligence", "venture-capital" ], project_urls={ "Bug Reports": "https://github.com/pitchlense/pitchlense-mcp/issues", "Source": "https://github.com/pitchlense/pitchlense-mcp", "Documentation": "https://pitchlense-mcp.readthedocs.io/", "Homepage": "https://amanulla.in", "Author (GitHub)": "https://github.com/connectaman", "Articles": "https://hashnode.com/@connectaman", }, include_package_data=True, zip_safe=False, )

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/connectaman/Pitchlense-mcp'

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