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"Marking Linux terminal commands as safe or unsafe for local execution" matching MCP servers:

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    An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.
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    5
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    Enables AI agents to interact with the Execute.run bot API for managing Shell balances, transferring funds, and executing LLM requests. It provides tools for identity verification, transaction tracking, and performing compute tasks through the Execute.run platform.
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    6
    MIT
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    Enables management of visible, interactive terminal sessions across platforms (macOS, Windows, Linux, WSL). Supports creating, executing commands, capturing output, and managing multiple terminal windows simultaneously.
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    • Linux
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    Provides read-only access to Unix/Linux command-line tools for AI agents, blocking dangerous operations like file deletion, modification, and command execution while enabling safe file inspection, searching, and system information gathering.
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    • Linux
    • Apple
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    Execute commands on remote Linux servers through Claude with an interactive web terminal showing full output while Claude receives smart-filtered summaries for token efficiency. Supports multi-server management, SFTP file transfers, batch scripts, and automation recipes.
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    3
    MIT
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    Enables safe execution of terminal commands across different shells (bash, cmd, PowerShell) with configurable timeouts, working directories, and resource limits for command-line operations through AI assistants.
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    • Linux
    • Apple
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    A lightweight stdio proxy that intercepts and rewrites MCP tool annotations to bypass security approval prompts in AI CLIs like Codex and Claude Code. It transparently passes through all tool operations while marking them as safe to ensure a seamless automation experience.
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    MIT
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    Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.
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    MIT
    • Linux
    • Apple
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    Provides AI assistants with the ability to control Linux desktop environments through tools for file management, application launching, and system operations like clipboard access. It includes a multi-level security model to manage permissions for safe, elevated, and restricted actions.
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    6
    • Linux
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    Enables AI assistants to encrypt and decrypt files or text using the SAFE utility with support for passwords, public keys, and GitHub usernames. It provides tools for key generation, identity listing, and inspecting encrypted file metadata.
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    A VSCode and Cursor extension that captures real-time terminal output and exposes it to AI assistants via the Model Context Protocol. It enables agents to proactively monitor logs, command execution, and errors without requiring manual copy-pasting from the user.
    Last updated
    3
    MIT
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    An MCP server that enables interaction with Safe (formerly Gnosis Safe) smart contract wallets, allowing users to query transactions, get multisig details, and decode transaction data through natural language.
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    MIT
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    A unified remote terminal management server that simplifies complex SSH connections and server management through MCP protocol, allowing users to control multiple remote servers with natural language commands as easily as local operations.
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    • Apple
    • Linux
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    Enables AI assistants to execute terminal commands on a host machine with configurable, granular permission controls and safety protections. It features multiple security modes, including allowlists and manual approval, to ensure safe command execution within specified directories.
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    6
    Apache 2.0
    • Apple
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    Enables read-only Linux system diagnostics and troubleshooting on local and remote RHEL-based systems via SSH, including services, processes, logs, network, and storage analysis.
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    20
    MIT
    • Linux
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    Enables read-only Linux system diagnostics and troubleshooting on RHEL-based systems, including system info, services, processes, logs, network, and storage analysis. Supports both local and remote SSH execution across multiple hosts.
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    MIT
    • Linux
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    Enables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.
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    Enables AI agents to interact with terminal environments through multiple concurrent PTY sessions. Supports cross-platform terminal operations including command execution, session management, and real-time communication.
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    MIT
    • Apple
    • Linux
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    Enables AI agents to interact with terminal-based TUI applications by capturing visual terminal output as PNG screenshots and simulating keyboard input through a virtual X11 display.
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    4
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    Apache 2.0
    • Linux
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    An MCP server for read-only Linux system administration and diagnostics on RHEL-based systems via SSH. It enables users to troubleshoot remote hosts by accessing system information, services, logs, and network configurations through natural language.
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    19
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    Apache 2.0
    • Linux
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    Safe MCP server and CLI tool for testing, scoring, and inspecting n8n workflows. Features 19 tools for workflow testing, execution traces, tiered scoring, and a built-in node catalog with 800+ node types. Designed with safety-first approach: no credential management, no secrets lifecycle, no auto-fix loops.
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    19
    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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    Fetches web pages and converts them to clean, readable markdown format by extracting main content while removing navigation, ads, and other non-essential elements to minimize token usage.
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    A lightweight FastAPI server that allows remote execution of shell commands on Windows, with real-time output streaming and security features like API key authentication and rate limiting.
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    Enables AI assistants to interact with native Linux desktop applications through AT-SPI2 accessibility interfaces. Provides semantic element targeting, natural language search, and automation capabilities (clicking, typing, keyboard shortcuts) across GTK, Qt, and Electron applications.
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    6
    MIT
    • Linux
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    A Model Context Protocol server that enables clients to interact with a system terminal running in an Electron application, allowing for executing commands, managing terminal sessions, and retrieving output programmatically.
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    5
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    MIT
    • Apple
    • Linux
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    A 100% local development monitoring tool that captures browser console logs, network requests, and backend server output for analysis by AI assistants via MCP. It enables LLMs to debug applications by providing structured, real-time access to full-stack log data and persistent local storage.
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    MIT
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    A local MCP server that wraps the Obsidian CLI to give AI assistants direct access to read, edit, and manage notes within an Obsidian vault. It enables advanced operations such as frontmatter property management, context-aware searching, and the execution of internal Obsidian commands.
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    2
    • Apple
    • Linux