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    Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.
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    3,256
    Apache 2.0
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    MCP server exposing Radarr's v3 REST API as tools, enabling LLMs to read and manage movies, downloads, history, indexers, and more.
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    MIT
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    Enables AI agents to process RF signals, perform spectral analysis, and execute radar DSP primitives such as Range-Doppler processing and CFAR detection, supporting both file-based and live SDR capture.
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    MIT
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    Exposes spectral analysis and radar DSP primitives (FFTs, STFT spectrograms, 2D Range-Doppler processing, CA-CFAR detection, MVDR beamforming, Kalman tracking) as callable MCP tools for AI agents, running hardware-free on signal files.
    3
    MIT