Enables configuration of the policy MCP server through environment variables, allowing customization of policy paths, rude word lists, and other settings via .env files
Integrates with GitHub for installation of the fastmcp SDK directly from the jlowin/fastmcp repository when not available on PyPI
Provides runtime environment for the MCP server with specific integration for different Python environments (Windows vs Dev Container contexts)
Uses YAML files for policy definition and configuration, allowing customizable policy rules that can be enforced through the server's policy compliance tool
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server that enforces policies on user inputs by checking against defined rules and rude words, helping ensure AI interactions remain appropriate and compliant.
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