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    Enables AI agents to safely access and administer remote machines over SSH using existing OpenSSH config, with typed tools for running commands, reading and writing files, listing directories, and retrieving file metadata.
    9
    40 npm
    MIT
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    A
    quality
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    Enables reading, writing, editing, searching, running commands, transferring files, and using git on a remote Linux server over SSH via MCP tools.
    22
    3
    AGPL 3.0
  • F
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    Enables MCP-based communication with existing interactive terminal channels, such as shells or agent CLIs, by listing, reading, writing text, and sending control signals to tmux sessions without creating or managing them.
    7
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  • F
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    Enables AI assistants to natively execute and manage 600+ Kali Linux security, penetration testing, and forensic tools, including search, help documentation, structured scanners, and workspace management.
    8
    1
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    A Model Context Protocol server that provides programmatic access to the Windows terminal, enabling AI models to interact with the Windows command line through standardized tools for writing commands, reading output, and sending control signals.
    3
    7 npm
    MIT
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    Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.
    3
    2
    MIT
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    Whistle MCP Server is a Whistle proxy management tool based on the Model Context Protocol (MCP) protocol, which enables AI assistants to directly operate and control local Whistle proxy servers. Through this tool, AI can help users manage rules, groups, values, monitor network requests, and replay a
    32
    19 npm
    44
    MIT
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    Enables adding and running arbitrary CLI commands through natural language, with recursive help parsing.
    3
    8
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    Exposes a governed, OAuth-gated suite of 38 tools that let web AI clients work directly on your machine: reading, writing, and editing files, running whitelisted shell commands, searching, Git, SQLite, browser automation, DevTools debugging, background tasks, localhost/LAN fetches, clipboard, notifications, port management, and Postman control.
    MIT
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    Exposes 20 tools over stdio that let coding agents treat any SSH-reachable machine as a local workspace: reading, writing, editing, searching and listing files, running commands and background jobs, driving persistent terminals, and forwarding ports over one pooled connection, with nothing installed on the remote host.
    506 npm
    1
    MIT
  • A
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    Enables AI assistants to control native Linux desktop applications by exposing the AT-SPI2 accessibility tree with semantic element references, so they can snapshot, search, click, type, and send keyboard shortcuts across GTK, Qt, and Electron apps. It also adds system-level tools for running shell commands, reading and writing the clipboard, launching installed applications, and sending desktop notifications.
    MIT
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    F
    maintenance
    Enables AI assistants to automate context-management tasks for the Horizon Worlds editor by executing system commands, reading/writing files, and managing processes.
    MIT
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    A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.
    MIT
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    Enables a remote AI client to work on a PC over Streamable HTTP: reading files, viewing images, applying patches (Codex or unified diff), running one-shot or interactive shell commands, and writing to stdin sessions. It also acts as a gateway that exposes local stdio MCP servers, such as Blender, under namespaced tool names like blender__execute_blender_code.
    MIT
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    Enables AI assistants to call any CLI tool by scanning its help output and serving it as an MCP server.
    1
    GPL 3.0
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    A lightweight, stdio-based MCP server enabling AI assistants to perform local file system operations like reading, writing, searching, and executing commands.
    6,054 npm
    MIT
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    Exposes existing command-line applications as MCP tools by discovering their commands and arguments, generating JSON Schemas, and executing them with argument validation, allowlists, read-only rules, approvals, and container sandboxing. Works with git, kubectl, docker, and any CLI with a parseable help output or a YAML manifest.
    Apache 2.0
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    Enables AI-assisted development tools like Cursor, Cline, and Windsurf to request user confirmation before acting, running shell commands and displaying their output inside a Qt feedback window that returns user notes and logs to the model. This human-in-the-loop loop lets the assistant consolidate many speculative tool calls into a single feedback-aware request, saving API usage and improving accuracy.
    MIT
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    Turns any command-line tool into an MCP server by parsing its --help, enabling AI assistants to discover and safely invoke CLI tools with validation, allow-listing, and sandboxing.
    MIT
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    Enables ChatGPT web to read local files, search code, run shell commands, and drive a local Codex CLI via an official MCP connector, with human approval for risky commands and full audit logging.
    1
    MIT
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    Provides file system operations (read, search, list) and time queries, enabling Claude to interact with files and get time in any timezone.
    19 npm
    MIT
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    Enables MCP clients such as ChatGPT and Claude to administer Linux or macOS hosts through authenticated Streamable HTTP, including running shell commands, reading and writing files within a workspace, listing directories, and retrieving system metrics.
    42 PyPI
    1
    MIT
  • A
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    Enables ChatGPT's web interface to operate a real Mac by executing shell commands and reading or writing files over a reverse SSH tunnel, without installing a client or consuming API quota.
    MIT