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    A lightweight stdio-only MCP server that allows AI agents to run multiple tasks (e.g., Python code, HTTP requests, shell commands) in parallel or with dependencies, returning structured results in a single call.
    2
    48 PyPI
    MIT
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    A CLI command execution server that enables running shell commands with structured output, providing detailed execution results including stdout, stderr, exit code, and execution duration.
    2
    38 npm
    12
    MIT
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    Enables AI agents to debug and repair historical Solaris/SPARC systems by providing an out-of-band control plane with guest DTrace, QEMU monitor access, SPARC-aware GDB, host eBPF/perf tracing, and an immutable evidence ledger for cross-layer hypothesis testing.
    16
    MIT
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    Provides AI agents with an unrestricted VPS root shell by executing arbitrary shell commands and returning structured results such as exit code, stdout, stderr, timeout, and truncation status.
    18
    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 AI services like Claude and Cursor to remotely control a Mac by executing shell commands, managing files, and running AppleScript for UI automation. Access is secured through OAuth 2.0 authentication and encrypted tunnels to protect remote interactions.
    2
    MIT
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    Enables AI agents to run shell commands over SSH on a fixed, pre-registered set of Linux machines, returning structured results with audit logging, enforced timeouts, output limits, and explicit registry management. It also supports safe file upload/download and multi-host command execution.
    MIT
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    Exposes MCP tools that let DeepSeek Harness agents list configured remote hosts, run shell commands on a Linux server with a chosen working directory and timeout, and upload or download files over SFTP. Results return stdout, stderr, exit codes, and timeout markers so the agent can act on remote machines as if they were local workspaces.
    192 npm
    1
    MIT
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    Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.
    MIT
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    Enables agents to execute shell commands and upload/download files on remote Linux hosts over SSH/SFTP with just two tools, returning structured, verifiable results such as exit codes, separated stdout/stderr, timeout and truncation flags, and the current working directory. Supports connection reuse, host alias resolution, host-key verification, and cross-call session state so multi-step work needs fewer calls.
    9,638 npm
    1
    MIT
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    Enables ChatGPT to inspect and manage approved local project folders, read files, propose edits, patches, and deletions, run shell commands subject to approval, and track jobs and tasks through MCP. It provides controlled access to local project files and execution results on macOS.
    MIT
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    A local-first MCP server providing guarded access to a workspace with file operations, search, commands, tests, Git helpers, checkpoints, and structured tool results. It supports multiple tool modes and emphasizes security with workspace restrictions and secret blocking.
    1
    MIT
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    Bridges local Claude Code with a remote Codex instance on a VPS via SSH, enabling Claude Code to invoke Codex as a sub-agent on remote repositories and retrieve results along with Git diff.
    MIT
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    Enables AI/MCP clients to enumerate, select, and operate authorized remote computers through one OAuth-protected, self-hosted endpoint, with devices connecting outbound and keeping their own cryptographic identities. It layers OAuth scopes, account-to-device grants, server profiles, and device-local ceilings to govern filesystem, shell, process, transfer, Git, and signed agent lifecycle operations with auditable results.
    AGPL 3.0
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    Enables execution of arbitrary CLI tools and shell scripts by defining them in YAML configuration files as MCP Tools. Supports custom shells (bash, Python, Node.js, Deno), input parameters passed as environment variables, and flexible timeout settings.
    10 npm
    36
    MIT
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    Enables remote command execution on SSH hosts (NAS, Linux, VPS) through an HTTP+SSE server, allowing users to run shell commands and receive results via the ssh.exec tool.
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    MCP server for SSH and local terminal access. Supports interactive commands, long-running processes, and TUI apps like tmux/zellij
    6
    4
    MIT
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    Secrets manager for AI coding agents. The model only sees secret names; values are injected into the child process at exec time, every command needs your approval in a native dialog, and output is redacted before it returns to the model.
    2
    70 PyPI
    1
    Apache 2.0
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    Stateless command execution and process management MCP server for Claude. Enables searching file contents, executing commands with safety limits, listing processes, and terminating processes.
    4
    1
    GPL 3.0
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    Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.
    14
    28 PyPI
    MIT
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    A minimal MCP server for UW Hyak (klone) that exposes tools to run shell commands and write files remotely, along with documentation resources for klone-specific utilities.
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    An open MCP server that gives any AI agent SSH access to remote Linux/Unix machines — shell commands, file read/write, and SFTP transfers.
    11
    43 PyPI
    MIT
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    Enables LLMs to interact with remote servers via SSH, supporting command execution, file upload/download, and directory listing.
    7
    MIT
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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.
    5
    8 npm
    AGPL 3.0