Helixar-AI/mcp-security-checklist

MCP is being adopted rapidly. Security guidance is lagging behind. This checklist gives security engineers, platform teams, and technical leaders a clear, actionable baseline for securing MCP deployments , whether you're shipping an internal tool or a customer-facing AI agent.

32
/ 100
Emerging

When deploying Model Context Protocol (MCP) servers and AI agent infrastructure, this checklist provides a practical security baseline. It takes information about your MCP deployment and provides actionable security controls for authentication, input validation, tool exposure, and monitoring. This resource is for security engineers, platform teams, and technical leaders responsible for securing AI systems.

Use this if you are building or deploying AI agents and MCP servers and need a clear, actionable security starting point.

Not ideal if you are looking for guidance on model training security, data privacy compliance, or general cloud infrastructure hardening.

AI Security Application Security Platform Operations Risk Management DevSecOps
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 11 / 25
Community 6 / 25

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MIT

Last pushed

Mar 09, 2026

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