AgentSafe — AI Agent & MCP Server Supply Chain Security Scanner
AI agents are rapidly gaining autonomous execution capabilities through MCP (Model Context Protocol) servers and tool integrations. These agents can now read files, execute code, make API calls, and interact with databases — all through MCP servers that are often community-built, unaudited, and inst
The Problem
AI agents are rapidly gaining autonomous execution capabilities through MCP (Model Context Protocol) servers and tool integrations. These agents can now read files, execute code, make API calls, and interact with databases — all through MCP servers that are often community-built, unaudited, and installed with a single command.
The axios npm supply chain attack on March 31, 2026 proved that even the most popular packages can be compromised through social engineering. Now imagine that same attack vector applied to MCP servers — tools that AI agents use with elevated permissions. A compromised MCP server could exfiltrate secrets, inject malicious instructions, or pivot to connected systems — all while the agent thinks it's performing legitimate operations.
There is currently zero dedicated security tooling for scanning MCP servers, AI agent tool dependencies, or the emerging agentic supply chain.
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