DesktopCommanderMCP — MCP Server by wonderwhy-er

by wonderwhy-er · MCP Server · ★ 6.0k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About DesktopCommanderMCP

Desktop Commander MCP Search, update, manage files and run terminal commands with AI Work with code and text, run processes, and automate tasks, going far beyond other AI editors - while using host client subscriptions instead of API token costs. 👋 We’re hiring — come build with us: https://desktopcommander.app/careers/ 🖥️ Try the Desktop Commander App (Beta) Want a better experience? The Desktop Commander App gives you everything the MCP

agentaicode-analysiscode-generationgemini-cli-extensionmcpterminal-aiterminal-automationvibe-coding

Quick Facts

Stars5,978
Forks701
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score54.6/100
Open Issues129
Last Updated2026-04-30
Created2024-12-04
Platformsclaude-code, cli, gemini, mcp, node
Est. Tokens~4807k

DesktopCommanderMCP alternative? Top 6 similar tools

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Frequently Asked Questions

What is DesktopCommanderMCP?

DesktopCommanderMCP is This is MCP server for Claude that gives it terminal control, file system search and diff file editing capabilities. It is categorized as a MCP Server with 6.0k GitHub stars.

What programming language is DesktopCommanderMCP written in?

DesktopCommanderMCP is primarily written in TypeScript. It covers topics such as agent, ai, code-analysis.

How do I install or use DesktopCommanderMCP?

You can find installation instructions and usage details in the DesktopCommanderMCP GitHub repository at github.com/wonderwhy-er/DesktopCommanderMCP. The project has 6.0k stars and 701 forks, indicating an active community.

What license does DesktopCommanderMCP use?

DesktopCommanderMCP is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to DesktopCommanderMCP?

The top alternatives to DesktopCommanderMCP on Agent Skills Hub include claude-context, byterover-cli, cc-skills-golang. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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