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    Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.
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    46 npm
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    Provides access to the Reuters Business and Financial News API to retrieve articles, trending news, and market data. It enables searching and filtering financial content by date, author, category, and keywords.
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    MIT
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    Enables MCP clients like Cursor to control logic analyzers, open capture files, decode buses such as Intel 8080, and reconstruct display framebuffers like ST7789.
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    MIT
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    A read-only reference server for 303 curated generative art algorithms implemented in Python (py5), spanning physics, fractals, cellular automata, shaders, and more. Agents can search by keyword, visual mood (ethereal, chaotic, crystalline…), or multi-layer artistic intent to discover algorithms, read structured summaries, and fetch bounded source snippets.
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    MIT
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    Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.
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    MCP server for Sumo Logic — 37 tools for searching logs, managing monitors, alerts, dashboards, collectors, and metrics. Zero hardcoded org-specific values.
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    MIT
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    AI-driven USB logic analyzer control via FastMCP. Captures digital traces, decodes UART/I2C/SPI, and exports VCD for PulseView, supporting sigrok hardware and built-in simulator.
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    MIT
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    Control Logic Pro locally on macOS through MCP: transport, tracks, mixer, plug-in parameters, audio analysis, bounce and delivery, with optional gesture and voice control. Uses OSC, CoreMIDI and macOS Accessibility. Actions report confirmed, uncertain or failed outcomes. Actual control requires a local Mac with Logic Pro. Hosted/Linux builds are schema inspection only; all operations are disabled.
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    MIT
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    MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.
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    MIT
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    Enables AI assistants to analyze smart-money market structure—trend, character shifts (ChoCh/BOS), liquidity sweeps, fair value gaps, order blocks, and pullback zones—from Hyperliquid or user-supplied candles.
    3
    Apache 2.0
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    An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.
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