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    Unit converter for AI agents, powered by the GNU units database — convert 3000+ units of measurement, evaluate compound unit expressions, reduce to SI base units, dimensional analysis. Offline, deterministic.
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    1
    GPL 3.0
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    Provides fast, indexed code navigation (definitions, references, callers, etc.) for AI coding agents by leveraging GNU Global (gtags), dramatically reducing context noise compared to grep.
    8
    80 PyPI
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    MIT
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    A Model Context Protocol server for reading, writing, and managing GNU Gettext .po translation files, enabling language models to perform file operations, entry management, partial updates, and fuzzy entry detection.
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    MIT
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    MCP server wrapping the GNU Backgammon neural network evaluation engine. Provides 18 tools for position analysis, move evaluation, rollouts, and board conversion.
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    Enables LLM clients to interact with the GNU Debugger (GDB) for comprehensive debugging and binary analysis. It provides a wide range of tools for program execution control, memory examination, stack analysis, and disassembly.
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    GPL 3.0
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    Enables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.
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    MIT
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    Enables AI agents and their users to submit, route, and monitor training jobs across free-tier GPU clouds (Kaggle, Colab, Lightning, local MPS) through a local daemon that tracks quota, explains routing decisions, and gates long or secret-reading agent jobs behind human approval.
    8
    MIT
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    Talk to your GnuCash books: a one-call financial dashboard (net worth, runway, budgets, what's overdue), and whole bank statements entered and reconciled in a single call from CSV, OFX, PDF, or even a screenshot or photo of the statement. Plus transactions, invoices, reports and multi-currency; local, SQLite/PostgreSQL/MySQL.
    87
    79
    MIT
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    Exposes NVIDIA GPU metrics (info, utilization, VRAM, temperature) via MCP tools for real-time querying from AI assistants.
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    MIT
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    Provides a persistent compute queue for AI agents, enabling them to submit hardware-aware GPU jobs, monitor execution, and retrieve results and artifacts across sessions via MCP tools.
    13
    MIT