Author

Cheng-Zhong Xu

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#artificial intelligence Preprint Sep 2026

A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem

Agents using the Model Context Protocol (MCP) rely on semantic matching to select tools from third-party servers, exposing a semantic supply-chain risk through attacker-controlled metadata and outputs. We introduce A2M (Attraction-to-Manipulation), a two-stage black-box framework for hijacking MCP agents. The Attractio...

Lai-Zhen Li, Xuan Wang, Pei-Cheng Zhao et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Grow the Harness, Not the Context: From Strategy-Free Scaffolds to Reusable Specialist Agents

Large language model (LLM) agents often handle streams of related tasks, yet standard harnesses repeatedly ask the model to reconstruct the same control decisions inside each task's context. We study whether task feedback can instead turn recurring control into reusable executable code, while reserving LLM calls for ta...

Lai-Zhen Li, Jia-Rui Li, Juanjuan Zhao et al. · 1 citation