Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Check the reputation of an AI microservice or public API before calling it, and submit ratings afterward — from a free, open trust registry (no account or API key). Scores combine Bayesian reputation and EigenTrust, strengthened by cryptographically signed service receipts and a Merkle audit trail. Install: npx -y @trustscoreagent/mcp-server.
Real-time security framework for MCP servers that detects and blocks malicious AI agent behavior by analyzing tool call patterns and intent across multiple threat detection engines.