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MCP Tool Poisoning in Agentic AI Frameworks: A Cross-Framework Measurement Study

Paper recorded by Signals 4 on 2026-11-02 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-02 on arXiv · recorded by Signals 4 on 2026-11-03

Category: cs.AI · 人工智能 · first seen 2026-11-03

Abstract

The Model Context Protocol (MCP) lets agentic AI frameworks connect language models to external tool providers, but it carries attacker-controlled content (tool descriptions, schema fields, and response data) into model context without validation. Prior benchmarks measure model compliance with poisoned instructions without confirming real execution. We present the first cross-framework measurement

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#35 most recent of 920 cs.AI papers we have recorded · ↑ newer: PlantVLM-Edge: Quantized Vision-Language Models for On-Device Crop Hea · ↓ older: Can LLM Agents Be Forward-Deployed Engineers? Requirement Discovery an
Cite this page: MCP Tool Poisoning in Agentic AI Frameworks: A Cross-Framework Measurement Study: the #35 most recent of 920 cs.AI papers we have recorded (as of 2026-11-02). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mcp-tool-poisoning-in-agentic-ai-frameworks-a-cross-framework-measurement-study.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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