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    A governance proxy for AI tools — every MCP/agent tool call is policy-gated, secret-redacted, and written to a hash-chained, offline-verifiable audit trail.
    13
    MIT
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    Enables AI assistants to execute security testing tools on a Kali Linux machine over SSH, including reconnaissance, web app scanning, and static/dynamic analysis.
    11
    9 npm
    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.
    37
    Apache 2.0
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    Enables crash dump analysis and kernel debugging by integrating the real crash utility with automatic dump discovery, kernel matching, and session management.
    7
    16 PyPI
    MIT
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    Enables comprehensive management of Zellij terminal workspace sessions, including session, pane, tab, plugin, layout operations, and LLM completion detection.
    22
    MIT
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    Enables AI agents to assess the risk of shell commands before execution, providing a probability of harm and a suggested action (auto, warn, or confirm).
    MIT
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    Enables remote execution of Linux commands via SSH, supporting system monitoring, file operations, and secure authentication with configurable safety controls.
    4
    MIT
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    Enables execution of ROS 2 CLI commands through the Model Context Protocol, supporting configurable timeouts, working directories, and secure command whitelisting.
    MIT
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    A hardened suite of two MCP servers — a terminal command executor and a file organizer — built on one shared, deny-by-default safety core.
    MIT
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    Provides Claude with complete file system integration including directory management, file operations, Office document creation/editing, and advanced file tree visualization.
    3
    MIT
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    Enables AI assistants to perform operations on remote servers by reusing SSH sessions from a local desktop app, including command execution, file upload/download, and project document management with security controls.
    MIT
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    Enables natural language command and control of remote systems across multiple platforms through Claude AI using the Model Context Protocol.
    8
    MIT
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    Gives AI agents a persistent, interactive PTY shell with multiple concurrent named sessions, supporting SSH and interactive prompts instead of one-shot exec.
    MIT
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    Provides secure, sandboxed terminal access for AI assistants via the Model Context Protocol, with multi-layer risk analysis and auditable command execution.
    3 npm
    8
    MIT
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    Enables Windows 11 automation across file, document, network, host, development, shell, GitHub, shortcut, system, and guidance domains through ten canonical MCP tools. It also supports backward-compatible tool routing and persistent GitHub integration.
    MIT
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    An MCP server that wraps Android ADB functionality into AI assistant tools, enabling device management, shell execution, file operations, app management, media capture, and log analysis via natural language.
    22 npm
    2
    MIT
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    A TypeScript implementation of a Model Context Protocol server that enables language models to securely query PostgreSQL databases, including those behind SSH bastion tunnels.
    17 npm
    1
    MIT
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    Enables secure remote management of the platform through nine MCP tools over STDIO and HTTP, including terminal execution, service controls, and live status monitoring.
    453 npm
    MIT
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    A Model Context Protocol (MCP) server that enables secure execution of shell commands with a dynamic approval system, audit logging, and command revocation.
    42
    Apache 2.0
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    Remote MCP / x402 / USDC / Base / Solana / OpenAPI / Google ADK / Gemini Xcatcher is an agent-first Remote MCP server (Streamable HTTP) for high-throughput crawling of fresh/latest posts across large sets of X (Twitter) usernames. It supports x402 pay-as-you-go top-ups using USDC on Base and Solana.
    9
    MIT
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    A Python implementation of the Model Context Protocol that allows applications to provide standardized context for LLMs, enabling creation of servers that expose data and functionality to LLM applications through resources, tools, and prompts.
    MIT
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    A local smart tool collection based on MCP that enables AI assistants to perform file management, document editing, shell execution, semantic retrieval, and text processing.
    MIT