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Abridged primary-source text [2]
Large language models increasingly mediate tool use in Model Context Protocol (MCP) systems, where adversarial influence may enter through user instructions, tool schemas, tool outputs, or protocol messages. Existing benchmarks often evaluate deployed agents, conflating model susceptibility with guardrails, orchestration, and general task capability. We introduce COPEX (COntext Provider EXploitation), a controlled benchmark that isolates the model as an MCP client by fixing the surrounding agent stack and varying only the tool-selecting model.
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- What changed
- The author-supplied record 10.48550/arxiv.2610.04378 makes an abstract and publication details available for “COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol (MCP) Layers”. [2]