"Shell" matching MCP servers:

Enables remote shell command execution and file operations with restricted/unrestricted modes, background tasks, safe editing, and code search.

Provides a secure, token-authenticated command execution tool over MCP Streamable HTTP, with a default-deny allowlist and shell metacharacter rejection.

Enables executing arbitrary shell commands over Streamable HTTP, with configurable shell, working directory, environment, timeout, and output limits, returning stdout, stderr, exit code, and termination details.

A bridge server that provides access to an Odoo shell environment, allowing execution of Python code within an Odoo database context for model introspection and database operations.

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.

Persistent SSH sessions for AI assistants, enabling long-running remote shell connections with features like file transfer, port forwarding, and swarm mode.

A secure server that implements the Model Context Protocol (MCP) to enable controlled execution of authorized shell commands with stdin support.

Enables remote shell control of Linux and network devices via SSH/Telnet, with session management and file transfer capabilities.

Enables AI agents to compose MCP tool calls into Unix-style pipelines, executing complex workflows server-side and returning only the final result.

Enables MCP clients to run shell commands on the host and retrieve exit code, stdout, and stderr, with hardened authentication and an encrypted audit log.

A simple MCP server that provides a terminal tool for executing shell commands with safety features like timeouts and error handling.

Provides read-only access to Shelly Cloud energy data, including live power, lifetime energy, and historical consumption with cost, enabling AI agents to monitor electricity usage without device control.

jobd is a self-hostable, GPU-aware job broker that queues and routes shell commands across your own machines — picking workers by available VRAM and tool tags, streaming logs back, and surviving across sessions. It ships native MCP integration, so agents can submit, monitor, and control long-running or GPU jobs as tools.

Outbound-only remote shell, detached long-running jobs, and temporary file courier for AI agents. Hosted Streamable HTTP plus stdio via npx -y @aicommander/mcp.

MCP security server with 7 tools: command safety check, prompt injection detection (32+ rules, zh+en), PII/sensitive data scanning, file path protection, tool policy enforcement, response auditing, and security status. 8-layer defense, zero dependencies.

MCP server — read-only log access for AI assistants. Debug your Linux server with AI, without giving the AI shell access.

MCP server for E2B code sandbox, enabling creation, management, and execution of code in secure sandboxes using Python and shell commands.

A Model Context Protocol server that allows LLMs to securely execute shell commands on remote Linux and Windows systems via SSH. It supports password and key-based authentication, command timeouts, and sudo elevation for administrative tasks.

Slim OPNsense MCP Server — 62 tools for managing firewall infrastructure via the OPNsense REST API. Covers DNS/Unbound, Firewall rules, Diagnostics, Interfaces, DHCP (ISC + Kea), System/Backups, ACME/Let's Encrypt, and Firmware. No SSH, no shell, API-only with 3 runtime dependencies. AGPL-3.0 + Commercial dual-licensed.

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.