mcp-safety-review

Assesses MCP server safety across supply chain, network, injection risk, secret handling, and sandbox validation.

Updated Mar 15, 2026
One-click install
npx skills add https://github.com/a53ali/ai-dev --skill mcp-safety-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mcp-safety-review
Source: https://github.com/a53ali/ai-dev/tree/main/skills/cross-cutting/mcp-safety-review
Command: npx skills add https://github.com/a53ali/ai-dev --skill mcp-safety-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill identifies potential security risks in Model Context Protocol (MCP) servers before integration with AI agents.

Core Features & Use Cases

  • Safety Assessment: Evaluates safety concerns like network requests, tool blast-radius, prompt injection risk, and secret handling.
  • Scoring Framework: Provides a detailed scored report with a go/no-go recommendation.
  • Audience: Ideal for engineers, managers, and QA professionals ensuring MCP security.

Quick Start

Run the skill to evaluate the safety of an MCP server by providing the appropriate trigger command.

Frequently Asked Questions about mcp-safety-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess the safety of an MCP server before integrating it with an AI agent?

Assess MCP server safety by evaluating supply chain trust, network requests, tool blast radius, prompt injection risk, secret handling, and sandbox validation to identify security risks before deployment.

What is tool blast radius in the context of Model Context Protocol security?

Tool blast radius is a safety assessment metric that evaluates the potential impact and scope of damage if an MCP server tool is compromised, helping engineers gauge integration risk.

Does this MCP safety evaluation provide a pass or fail recommendation for QA professionals?

The safety evaluation provides a detailed scored report with a go/no-go recommendation, allowing QA professionals to make clear deployment decisions based on structured security checks.

How do I check for prompt injection risks in MCP servers?

Check for prompt injection risks by running a structured safety evaluation process that analyzes how MCP server inputs could manipulate AI agent behavior and identifies potential vulnerabilities.

Can I use this safety assessment for MCP integration at an enterprise scale?

This safety assessment is designed for engineers, managers, and QA professionals ensuring MCP security, providing structured scoring across supply chain and network analysis suitable for enterprise review.

What are the limitations of automated safety reports for Model Context Protocol servers?

Automated safety reports rely on structured evaluations of network requests and sandbox validation, but may not capture zero-day vulnerabilities or complex contextual risks without manual engineering review.