Skip to main content
Glama

Statsource MCP Server

by jamie7893
setup.py1.18 kB
from setuptools import setup, find_packages import os from mcp_server_stats import __version__ # Read long description from README.md with open("README.md", "r", encoding="utf-8") as fh: long_description = fh.read() setup( name="mcp-server-stats", version=__version__, author="Statsource Team", author_email="info@statsource.me", description="A Model Context Protocol server for statistical analysis", long_description=long_description, long_description_content_type="text/markdown", url="https://github.com/jamie7893/statsource-mcp", packages=find_packages(), include_package_data=True, classifiers=[ "Programming Language :: Python :: 3", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", ], python_requires=">=3.8", install_requires=[ "mcp>=1.4.1,<2.0.0", "requests>=2.31.0,<3.0.0", "pydantic>=2.4.2,<3.0.0", "python-dotenv>=1.0.0,<2.0.0", "python-json-logger>=2.0.7,<3.0.0" ], entry_points={ "console_scripts": [ "mcp-server-stats=mcp_server_stats.server:run_server", ], }, )

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/jamie7893/statsource-mcp'

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