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    An MCP server that reports on and manages systemd services using systemctl and journalctl, enabling service listing, status, logs, and control operations.
    5
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    ssh-mcp-pro is a secure Model Context Protocol (MCP) server for SSH automation, enabling clients to open SSH sessions, run commands, manage files, transfer artifacts, create tunnels, and perform package/service operations under policy control.
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    MIT
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    Enables system automation and control including command execution, process management, network tools, environment variables, disk usage, and service status.
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    A structured SSH management service that exposes command execution, file transfer, background jobs, GPU monitoring, systemd operations, and port forwarding as MCP tools with strict security and explicit input schemas.
    19
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    Provides powerful text search capabilities using the grep command-line utility, allowing users to search files and directories using both natural language descriptions and regex patterns.
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    MIT
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    Enables LLMs to perform automated penetration testing and Active Directory reconnaissance through Mythic, with tools for executing PowerShell, AD recon, domain user enumeration, and Kerberoasting.
    12
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    Provides a secure MCP interface to execute commands inside Docker Compose service containers, with real-time output capture and configurable timeouts.
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    MIT
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    Servagent is an MCP server that enables a remote AI to take full control of a Linux server: command execution, file management, service administration, and more.
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    MIT
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    Enables AI agents to fetch Nebius cloud service documentation and execute Nebius CLI commands for managing cloud resources like compute instances and storage buckets through natural language interactions.
    15
    MIT
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    Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.
    MIT
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    A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.
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    Enables AI assistants to create, monitor, and manage computational tasks through GA4GH Task Execution Service (TES) functionality. Provides seamless access to TES-compliant services for executing bioinformatics and scientific computing workflows.
    Apache 2.0