developer-tools

Shell Command Executor

kevinwatt

by kevinwatt

Automate system tasks securely with Shell Command Executor—perfect for knowledge database software and CRM relationship

Provides a shell command execution interface for secure and controlled access to local system operations, enabling automation tasks and system management.

github stars

6

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Security-focused with whitelisted commands onlyBuilt-in resource monitoring and limits10+ common shell tools included

best for

  • / LLM agents needing file system access
  • / Automating basic system administration tasks
  • / Development workflows requiring shell operations
  • / System monitoring and diagnostics

capabilities

  • / Execute whitelisted shell commands with arguments
  • / List directory contents and show file information
  • / Monitor system resources like memory and disk usage
  • / Search text patterns in files with grep
  • / Display file contents and system information
  • / Control command timeouts and output size limits

what it does

Executes whitelisted shell commands safely with security controls like timeouts, output limits, and resource monitoring. Provides basic file system operations and system information commands for LLMs.

about

Shell Command Executor is a community-built MCP server published by kevinwatt that provides AI assistants with tools and capabilities via the Model Context Protocol. Automate system tasks securely with Shell Command Executor—perfect for knowledge database software and CRM relationship It is categorized under developer tools. This server exposes 20 tools that AI clients can invoke during conversations and coding sessions.

how to install

You can install Shell Command Executor in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Shell Command Executor is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

shell-mcp

Shell command execution MCP server

Version License

An MCP server implementation that provides secure shell command execution capabilities for LLMs.

Features

  • Secure Execution: Whitelisted commands and arguments only
  • Resource Control: Memory and CPU usage monitoring
  • Timeout Control: Automatic termination of long-running commands
  • Size Limits: Output size restrictions for safety
  • MCP Integration: Works with Claude and other MCP-compatible LLMs

Installation

npm install @kevinwatt/shell-mcp

Configuration with Dive Desktop

  1. Click "+ Add MCP Server" in Dive Desktop
  2. Copy and paste this configuration:
{
  "mcpServers": {
    "shell": {
      "command": "npx",
      "args": [
        "-y",
        "@kevinwatt/shell-mcp"
      ]
    }
  }
}

Tool Documentation

  • shell_ls, shell_pwd, shell_df, etc.
    • Execute whitelisted shell commands
    • Inputs:
      • command (string, required): Command to execute
      • args (array, optional): Command arguments
      • timeout (number, optional): Execution timeout in ms

Usage Examples

Ask your LLM to:

"Show current directory using shell_pwd"
"List files using shell_ls with -l argument"
"Check disk usage using shell_df with -h argument"

Manual Start

If needed, start the server manually:

npx @kevinwatt/shell-mcp

Requirements

  • Node.js 18+
  • MCP-compatible LLM service

Development

# Install dependencies
npm install

# Watch mode
npm run watch

# Run tests
npm test

# Lint
npm run lint

License

MIT © Dewei Yen

Keywords

  • mcp
  • shell
  • command
  • claude
  • llm
  • automation

Available Commands

The following shell commands are available:

CommandDescriptionAllowed Arguments
lsList directory contents-l, -a, -h, -R, --help, *
catConcatenate and display file contents-n, -b, --help, *
pwdShow current working directoryNone
dfShow disk usage-h, -T, --help
echoDisplay textAny text
psShow process status-e, -f, -u, --help
freeShow memory usage-h, -m, -g, --help
uptimeShow system uptimeNone
dateShow system date and time+%Y-%m-%d, +%H:%M:%S, --help
grepSearch text patterns in files-i, -v, -n, -r, -l, --color, *
wShow who is logged on and what they are doing-h, -s, --no-header, --help
whoisQuery WHOIS domain registration information-H, *
findSearch for files in a directory hierarchy-name, -type, -size, -mtime, *
netstatNetwork connection information-a, -n, -t, -u, -l, -p, --help
lspciList PCI devices-v, -k, -mm, -nn, --help
lsusbList USB devices-v, -t, -d, -s, --help
digDNS lookup utility+short, +trace, +dnssec, @*, *
nslookupQuery DNS records-type=, -query=, *
ipShow network devices and interfacesaddr, link, route, neigh, -br, *
whereisLocate binary, source and manual files-b, -m, -s, *

FAQ

What is the Shell Command Executor MCP server?
Shell Command Executor is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Shell Command Executor?
This profile displays 69 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.669 reviews
  • Mia Huang· Dec 24, 2024

    Shell Command Executor reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Mia Sethi· Dec 16, 2024

    Shell Command Executor is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Shikha Mishra· Dec 8, 2024

    I recommend Shell Command Executor for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Anaya Sanchez· Dec 8, 2024

    Shell Command Executor is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Yash Thakker· Nov 27, 2024

    Shell Command Executor is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Amina Nasser· Nov 27, 2024

    Strong directory entry: Shell Command Executor surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Layla Verma· Nov 15, 2024

    Useful MCP listing: Shell Command Executor is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Mia Choi· Nov 7, 2024

    Strong directory entry: Shell Command Executor surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Mia Robinson· Oct 26, 2024

    Useful MCP listing: Shell Command Executor is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Dhruvi Jain· Oct 18, 2024

    Shell Command Executor has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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