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    Provides AI agents with version-pinned NVIDIA CUDA-Q documentation, API reference, and runnable examples via MCP, using offline SQLite full-text search. It resolves docs to match the installed cudaq package to avoid version skew.
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    27 PyPI
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    Apache 2.0
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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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    58 PyPI
    MIT
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    Enables natural language control of NVIDIA Isaac Sim through the Model Context Protocol, allowing you to create robots, build scenes, run simulations, and debug physics from any MCP-compatible IDE.
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    MIT
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    Deterministic AI data-center design tools for sizing, validation, and conceptual rack/site layouts. Supports NVIDIA Hopper, Blackwell, and Rubin profiles. Calculations require a registered AIDC API key; results preserve warnings, RFIs, and pending validations.
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    MIT
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    Dual-memory MCP system with PostgreSQL 17 + pgvector + NVIDIA NIM embeddings. 11 tools: search, save, profile, health, auto-repair, stats, tune, dedup, checkpoint, maintenance. Sparse Selective Caching (SSC) with 4-phase progressive retrieval. Bilingual EN/ES.
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    MIT
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    Enables AI assistants to control NVIDIA Isaac Sim by building scenes, loading assets, operating robots and humans, reading sensors, managing simulation, and creating Action Graphs.
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    MIT