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"A GitHub server implementing the Model Context Protocol (MCP)" matching MCP servers:

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    A comprehensive production-ready MCP server with AI integration, plugin management, and web-based administration. Features multi-database support, RAG capabilities, SSH/SFTP access, and a built-in plugin hub for managing the MCP ecosystem.
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    A production-grade, type-safe MCP server for memory forensics via Volatility 3, enabling LLM-assisted incident response without timeouts or evidence spoliation.
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    MIT
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    Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
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    MIT
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    A secure shell command execution server implementing the Model Context Protocol (MCP). This server allows remote execution of whitelisted shell commands with support for stdin input.
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    MIT
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    A server that enables remote command execution over SSH through the Model Context Protocol (MCP), supporting both password and private key authentication.
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    MIT
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    A distributable Model Context Protocol (MCP) server that exposes Dart SDK commands for AI-powered development. This server bridges the gap between AI coding assistants and Dart/Flutter development workflows by implementing the Model Context Protocol (MCP).
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    MIT
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    MCP server enabling AI agents to interact with terminal applications through structured Terminal State Tree representation. Works with any AI assistant that supports the Model Context Protocol.
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    MIT
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    A modular Model Control Protocol server that provides tools for GitHub repository analysis, calculations, weather, time, and command execution via HTTP or stdio.
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    A lightweight Node.js MCP server with zero dependencies offering 9 built-in tools for system info, web fetching, GitHub search, file operations, shell execution, and key-value memory, enabling AI agents to perform these tasks via the Model Context Protocol.
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    A TypeScript-based server that enables programmatic management of pseudo-terminal sessions. It allows users to spawn, control, and interact with terminal processes in real-time through the Model Context Protocol.
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    AGPL 3.0
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    Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.
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    MIT
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    An enhanced Model Context Protocol filesystem server that fixes common limitations and adds features like glob pattern search, head/tail reading, intelligent file editing with syntax validation, and new tools for delete and command execution.
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    MIT
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    MCP server for inspecting IBM Liberty/WebSphere application servers over SSH, enabling reading sanitized configs, performing health checks, and searching logs remotely.
    4