Merge pull request #2667 from kenm47/patch-2

Add the Maybe Don't AI Policy Engine to the list of MCP Servers

README.md

@@ -902,6 +902,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Matlab-MCP-Tools](https://github.com/neuromechanist/matlab-mcp-tools)** - An MCP to write and execute MATLAB scripts, maintain workspace context between MCP calls, visualize plots, and perform section-by-section analysis of MATLAB code with full access to MATLAB's computational capabilities.
 - **[Maton](https://github.com/maton-ai/agent-toolkit/tree/main/modelcontextprotocol)** - Connect to your SaaS tools like HubSpot, Salesforce, and more.
 - **[Maven Tools MCP](https://github.com/arvindand/maven-tools-mcp)** - Maven Central dependency intelligence for JVM build tools. Supports all build tools (Maven, Gradle, SBT, Mill) with Context7 integration for documentation support.
+- **[Maybe Don't AI Policy Engine](https://www.maybedont.ai/download/)** - Yet another MCP security gateway, Maybe Don't AI provides policy checks on any call before it reaches downstream MCP servers to protect users from agents behaving poorly.
 - **[MCP-Airflow-API](https://github.com/call518/MCP-Airflow-API)** - Model Context Protocol (MCP) server for Apache Airflow API integration. Provides comprehensive tools for managing Airflow clusters including service operations, configuration management, status monitoring, and request tracking.
 - **[mcpcap](https://github.com/mcpcap/mcpcap)** - A modular Python MCP (Model Context Protocol) Server for analyzing PCAP files.
 - **[MCP Compass](https://github.com/liuyoshio/mcp-compass)** - Suggest the right MCP server for your needs