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    A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.
    7
    17 npm
    MIT
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    Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.
    9
    1
    MIT
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    Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.
    3
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    A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.
    1
    8 npm
    MIT
  • F
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    An MCP server that provides tools to interact with CLI applications, enabling process management including start, stop, check status, send input, and read output.
    8
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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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    Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.
    6
    71 npm
    4
    MIT
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    An MCP server that exposes RS232 serial port connectivity, enabling listing, opening, reading, and writing to serial ports via tools and resources.
    6
    MIT
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    An MCP server that enables running CLI for Microsoft 365 commands through GitHub Copilot Agent, allowing users to interact with Microsoft 365 services using natural language.
    4
    797 npm
    131
    MIT
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    A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.
    14
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    Enables AI assistants to interact with and manage Minecraft servers through a standardized interface, supporting server monitoring, player management, log analysis, and command execution.
    11
    12 PyPI
    1
    MIT