tumf/mcp-shell-server
by Various
A secure shell command execution server implementing the Model Context Protocol (MCP)
MCP
tumf/mcp-shell-server
Added 1 June 2026
Overview
A secure shell command execution server that implements the Model Context Protocol (MCP). It allows AI agents to run shell commands through a controlled interface, sending commands as MCP requests and receiving results.
Best for
Best for
Developers who need a secure, auditable bridge for AI agents to run shell commands on servers
Use cases
- Run shell scripts and commands from an AI assistant within a sandboxed environment
- Automate system administration tasks by delegating command execution to an agent
- Enable AI-driven file operations and process management on a remote server
How to use
Install
npx -y @smithery/cli install mcp-shell-server --client claude Tools exposed
ALLOW_PATTERNSMCP_SHELL_DEFAULT_TIMEOUT_SECONDSMCP_SHELL_MAX_TIMEOUT_SECONDSMCP_SHELL_OUTPUT_LIMIT_BYTESMCP_SHELL_CHILD_ENV_ALLOWLISTMCP_SHELL_SAFE_PATHexecution_time
Tested with
Claude Desktop
Notes
A secure shell command execution server that implements the Model Context Protocol (MCP). It allows AI agents to run shell commands through a controlled interface, sending commands as MCP requests and receiving results.
175 stars on GitHub. Last updated 2026-04-02. Licensed MIT.
Use cases
- Run shell scripts and commands from an AI assistant within a sandboxed environment
- Automate system administration tasks by delegating command execution to an agent
- Enable AI-driven file operations and process management on a remote server
Pros
- Provides a structured, protocol-based way to execute shell commands from AI agents
- Written in Python, making it easy to audit and extend
- Sandboxed execution reduces risk of unintended system changes
Cons
- Limited to shell commands it knows about; custom commands require configuration
- Still requires careful permission management to avoid security gaps
- Relatively small community (175 stars) and early-stage project
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Provides a structured, protocol-based way to execute shell commands from AI agents
- Written in Python, making it easy to audit and extend
- Sandboxed execution reduces risk of unintended system changes
Cons
- Limited to shell commands it knows about; custom commands require configuration
- Still requires careful permission management to avoid security gaps
- Relatively small community (175 stars) and early-stage project
Pairs with
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