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    MCP server that vets LLM-emitted shell commands BEFORE execution — detects rm -rf nested deep in chains, package-manager glob removal (apt remove 'nvidia'), dd/mkfs filesystem destruction, chmod 777 / chown -R privilege blast, network-exfil via curl | bash, chained shutdown/reboot, git destructive ops. 30 detection rules across 8 families. Sub-second, local, free, MCP-native.
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    MIT
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    A lightweight MCP server that provides real-time hardware statistics including CPU, memory, disk, and NVIDIA GPU usage. It enables users to monitor system performance and retrieve comprehensive host machine specifications through a standardized interface.
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    An MCP server that enables AI assistants to generate, score, and analyze DNA sequences using the evo2 genomic foundation model. It supports multiple execution modes including local GPU, SLURM clusters, and the Nvidia NIM cloud API for tasks like variant effect prediction and sequence embedding.
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    MIT
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    Enables GPU profiling and performance analysis via NVIDIA Nsight Systems, allowing agents to profile binaries and aggregate statistics for kernels, memory copies, and NVTX ranges. It supports advanced analysis through interval tree construction and structural queries on profiling reports.
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    A local text-to-image generation server that enables AI agents to generate images, manage models, and browse history using the Z-Image-Turbo model. It supports hardware acceleration across NVIDIA, Apple Silicon, and AMD GPUs via multiple MCP transport protocols.
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    Apache 2.0
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    Enables generation of comprehensive financial reports for major companies like NVIDIA, Apple, Microsoft, and others. Supports multiple report types including basic summaries, comprehensive analysis, and financial ratio analysis with batch processing capabilities.
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    MIT
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    Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.
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    MIT
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    A Model Context Protocol server that enables monitoring and remote control of Nvidia Jetson boards using natural language commands over a network connection.
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    The complete creative AI pipeline exposed as MCP tools. From generation to permanent storage — every stage available via x402 USDC micropayments on Base L2. Generation * SD 3.5 Large + T5-XXL — Stable Diffusion 3.5 Large with T5-XXL text encoder on NVIDIA L4 GPU. High-fidelity image generation with supe
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