AI RESEARCH
MCP-in-SoS: Risk assessment framework for open-source MCP servers
arXiv CS.AI
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ArXi:2603.10194v1 Announce Type: cross Model Context Protocol (MCP) servers have rapidly emerged over the past year as a widely adopted way to enable Large Language Model (LLM) agents to access dynamic, real-world tools. As MCP servers proliferate and become easy to adopt via open-source releases, understanding their security risks becomes essential for dependable production agent deployments. Recent work has developed MCP threat taxonomies, proposed mitigations, and nstrated practical attacks.