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MCP-TAD: An MCP-Based Agent Framework with Tool Routing and Alarm Suppression for Time-Series Anomaly Detection

2026-05-28

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<title>Abstract</title> <p>Anomaly detection for time series is essential in Artificial Intelligence for IT Operations (AIOps), yet practical deployment remains difficult because monitoring data are often weakly labeled, high-volume, and heterogeneous across services. Recent Large Language Model (LLM) agents can coordinate tool use and produce structured explanations, but direct LLM reasoning over numerical strea...

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Literature Corpus work: b735bbf0-d3c7-5e95-9f7f-9e091019f544
DOI: 10.21203/rs.3.rs-9651510/v1

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