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    Enables executing Bash commands, pipelines, and scripts across Windows, macOS, and Linux via MCP, with support for multiple runtimes, timeouts, working directories, and stream capture.
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    Enables AI assistants to manage Xcode projects by listing targets, reading configurations, and triggering builds via the Model Context Protocol. It facilitates natural language interaction with macOS developer tools to streamline iOS app development processes.
    6
    127 npm
    MIT
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    Exposes vLLM capabilities to AI assistants, enabling chat completions, model management, and platform-aware container control with automatic detection of Docker/Podman and GPU availability across Linux, macOS, and Windows.
    12
    24 PyPI
    8
    Apache 2.0
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    Enables AI assistants to build, test, run, and manage Apple platform projects (iOS, macOS, tvOS, watchOS, visionOS) directly through Xcode. Provides comprehensive control over Xcode projects, Swift packages, simulators, and development workflows without leaving your editor.
    5
    322 npm
    2
    MIT
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    MCP server for MT5 strategy development on macOS/Linux with 89 tools to compile, backtest, analyze, optimize, debug crashes, and manage MQL5 Expert Advisors — no Windows required.
    40
    MIT
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    Enables AI agents to run JavaScript in fresh V8 isolates and shell commands under macOS seatbelt sandboxing, with per-call permissions for network, CPU, memory, disk, and host mounts. It also supports persistent writable copies with explicit sync or discard for safe host directory edits.
    120 npm
    3
    MIT
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    Gives AI assistants direct access to macOS clipboard - letting Claude copy generated code, text, or files straight to your clipboard for pasting anywhere on Mac.
    251
    MIT
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    Exposes MCP tools that run vector math through native compiled Mojo CPU code, computing dot products, scaled vector addition (axpy), and reporting backend, precision, and input-limit details, with finite-number validation and a 10,000-element cap. It runs locally over stdio on Linux/macOS, compiling and caching the native code on first start.
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    Enables AI agents to drive the Opiumware Roblox executor on macOS by running Luau scripts and retrieving return values, prints, and errors. It also exposes tools for reading console logs, searching decompiled client scripts, capturing remote network traffic, and taking screenshots so agents can verify and iterate autonomously.
    6
    MIT
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    Enable Claude Code, Cursor, or your favorite LLM to interact with Xcode, building your projects the same way you do, and seeing the same errors. Greatly increases productivity when working on iOS, iPadOS, macOS, visionOS, tvOS projects & Swift packages - or any time you might use Xcode.
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    5
    MIT
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    Enhanced fork of Google's Colab MCP, pre-registers all 7 notebook tools at startup (get_cells, add/run/update/delete/move_cell, add_text_cell), adds programmatic GPU control (T4/L4/A100) via OAuth, and fixes the "Disconnected from local server" issue with IPv4-only bind, PNA CORS headers, and stale-tab dedup. Works on Chrome, Edge, Windows, macOS, Linux.
    9
    20
    Apache 2.0
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    Enables controlling OriginLab Origin through MCP to read and write worksheets, build and style multi-panel graphs, and export figures, reporting what Origin actually did rather than what it was asked to do. Works from macOS or Linux against Origin running in a Windows VM.
    17
    38 PyPI
    3
    MIT
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    Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.
    4
    2
    AGPL 3.0
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    Lets any MCP client build and test native iOS or macOS apps with xcodebuild and XCTest, then launch the app on a cloud Mac's simulator and inspect the screen, tap, type, swipe, and press buttons to verify its own work. Also returns a live browser link for watching and using the running app.
    MIT