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    The m2m-mcp-server-ssh-client provides a unified MCP server interface, securely connecting via SSH to the m2m-mcp-server-ssh-server back-end which aggregates MCP servers. This setup offers secure, single-point access to diverse remote tools using robust SSH key-based authentication.
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    MIT
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    A local MCP server that gives Claude in the browser tools to interact with a Fedora machine, including file operations, system diagnostics, build tasks, and root actions via Polkit.
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    MIT
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    An MCP server that enables AI assistants to execute shell commands and manage files on remote servers via SSH. It supports recursive directory uploads, archive extraction, and direct file creation from text content.
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    MIT
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    SSH MCP is a Model Context Protocol tool for managing and interacting with multiple virtual machines over SSH. It simplifies executing commands on remote servers using the standard SSH config file format.
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    MIT
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    Enables AI assistants to execute shell commands and transfer files via SFTP across remote servers using existing SSH configurations. It supports parallel execution on server groups and provides built-in safety warnings for potentially destructive commands.
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    Mozilla Public 2.0
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    Enables AI agents to read tmux pane content on-demand, providing context-aware assistance during interactive terminal sessions.
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    MIT
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    Enables AI assistants to perform web content discovery scans using feroxbuster on a remote system via SSH, with support for recursive scanning, filtering, and background execution.
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    MIT
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    Enables AI assistants to execute SSH commands and perform token-efficient file operations on remote servers via the Model Context Protocol.
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    MIT
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    Enables SSH remote command execution on any host using the system ssh binary, supporting existing configurations like ssh-agent, ProxyCommand, and jump hosts.
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    MIT
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    About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.
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    37
    Apache 2.0