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io.github.bytedance/mcp-server-commands MCP Server

io.github.bytedance/mcp-server-commands

Run arbitrary shell commands from an MCP-connected AI agent.

RepositoryRegistry

What is the io.github.bytedance/mcp-server-commands MCP server?

The mcp-server-commands MCP server (@agent-infra/mcp-server-commands) is a Model Context Protocol server that lets an AI agent execute arbitrary shell/system commands on the host machine. It is part of ByteDance's UI-TARS-desktop / Agent TARS ecosystem, providing a generic command-execution tool that can be mounted into Agent TARS or other MCP-compatible clients.

mcp-server-commands is an MCP server that exposes the ability to run arbitrary system/shell commands to an AI agent. It's distributed as the npm package @agent-infra/mcp-server-commands and is designed to be used as one of the many real-world tool integrations (MCP Servers) that plug into Agent TARS, ByteDance's multimodal AI agent stack, enabling agents to perform command-line operations as part of completing tasks.

How to install io.github.bytedance/mcp-server-commands

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Claude Desktop
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mcp-server-commands": {
      "command": "npx",
      "args": [
        "-y",
        "@agent-infra/mcp-server-commands",
        "cwd"
      ]
    }
  }
}
Cursor
~/.cursor/mcp.json
{
  "mcpServers": {
    "mcp-server-commands": {
      "command": "npx",
      "args": [
        "-y",
        "@agent-infra/mcp-server-commands",
        "cwd"
      ]
    }
  }
}
Windsurf
~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "mcp-server-commands": {
      "command": "npx",
      "args": [
        "-y",
        "@agent-infra/mcp-server-commands",
        "cwd"
      ]
    }
  }
}
VS Code
.vscode/mcp.json
{
  "servers": {
    "mcp-server-commands": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@agent-infra/mcp-server-commands",
        "cwd"
      ]
    }
  }
}
Claude Code
claude mcp add mcp-server-commands -- npx -y @agent-infra/mcp-server-commands cwd

Tools & capabilities

Tools this server exposes to the agent.

  • run command — Executes an arbitrary command on the host system and returns the result to the calling agent.

Use cases

  • Let an AI agent run shell/system commands to accomplish a task
  • Extend Agent TARS with command-line execution capability
  • Automate local scripting tasks triggered by an LLM agent
  • Integrate arbitrary CLI tools into an MCP-based agent workflow

io.github.bytedance/mcp-server-commands MCP server FAQ

What does the mcp-server-commands MCP server do?

It provides an MCP-compatible interface that allows an AI agent to run arbitrary commands on the host machine, enabling command-line style automation as part of an agent's toolset.

Is mcp-server-commands free to use?

Yes, it is an open-source package (@agent-infra/mcp-server-commands) published under the Apache License 2.0 as part of the UI-TARS-desktop project.

How do I install it for use with an MCP client like Cursor or Claude?

Install/connect via npm using the package @agent-infra/mcp-server-commands, then configure it as an MCP server in your client's MCP server settings so the agent can invoke it.

Does it require authentication?

The README does not describe any required authentication; it runs commands directly on the host system where the server is deployed.

Is this server safe to run since it executes arbitrary commands?

Because it can run arbitrary system commands, it should be used with caution and typically in a sandboxed or trusted environment, though the README does not detail specific safety controls.

What ecosystem is this server part of?

It is part of ByteDance's UI-TARS-desktop repository, which also ships Agent TARS (a multimodal AI agent CLI/Web UI) and the UI-TARS Desktop GUI agent application.

README (reference)

Source of truth, from the repository.

<picture> <img alt="Agent TARS Banner" src="./images/tars.png"> </picture> <br/>

Introduction

English | 简体中文

<b>TARS<sup>*</sup></b> is a Multimodal AI Agent stack, currently shipping two projects: Agent TARS and UI-TARS-desktop:

<table> <thead> <tr> <th width="50%" align="center"><a href="#agent-tars">Agent TARS</a></th> <th width="50%" align="center"><a href="#ui-tars-desktop">UI-TARS-desktop</a></th> </tr> </thead> <tbody> <tr> <td align="center"> <video src="https://github.com/user-attachments/assets/c9489936-afdc-4d12-adda-d4b90d2a869d" width="50%"></video> </td> <td align="center"> <video src="https://github.com/user-attachments/assets/e0914ce9-ad33-494b-bdec-0c25c1b01a27" width="50%"></video> </td> </tr> <tr> <td align="left"> <b>Agent TARS</b> is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product. <br> <br> It primarily ships with a <a href="https://agent-tars.com/guide/basic/cli.html" target="_blank">CLI</a> and <a href="https://agent-tars.com/guide/basic/web-ui.html" target="_blank">Web UI</a> for usage. It aims to provide a workflow that is closer to human-like task completion through cutting-edge multimodal LLMs and seamless integration with various real-world <a href="https://agent-tars.com/guide/basic/mcp.html" target="_blank">MCP</a> tools. </td> <td align="left"> <b>UI-TARS Desktop</b> is a desktop application that provides a native GUI Agent based on the <a href="https://github.com/bytedance/UI-TARS" target="_blank">UI-TARS</a> model. <br> <br> It primarily ships a <a href="https://github.com/bytedance/UI-TARS-desktop/blob/main/docs/quick-start.md#get-model-and-run-local-operator" target="_blank">local</a> and <a href="https://github.com/bytedance/UI-TARS-desktop/blob/main/docs/quick-start.md#run-remote-operator" target="_blank">remote</a> computer as well as browser operators. </td> </tr> </tbody> </table>

Table of Contents

<!-- START doctoc generated TOC please keep comment here to allow auto update --> <!-- DON'T EDIT THIS SECTION, INSTEAD RE-RUN doctoc TO UPDATE --> <!-- END doctoc generated TOC please keep comment here to allow auto update -->

News

  • [2025-11-05] 🎉 We're excited to announce the release of Agent TARS CLI v0.3.0! This version brings streaming support for multiple tools (shell commands, multi-file structured display), runtime settings with timing statistics for tool calls and deep thinking, Event Stream Viewer for data flow tracking and debugging. Additionally, it features exclusive support for AIO agent Sandbox as isolated all-in-one tools execution environment.
  • [2025-06-25] We released an Agent TARS Beta and Agent TARS CLI - Introducing Agent TARS Beta, a multimodal AI agent that aims to explore a work form that is closer to human-like task completion through rich multimodal capabilities (such as GUI Agent, Vision) and seamless integration with various real-world tools.
  • [2025-06-12] - 🎁 We are thrilled to announce the release of UI-TARS Desktop v0.2.0! This update introduces two powerful new features: Remote Computer Operator and Remote Browser Operator—both completely free. No configuration required: simply click to remotely control any computer or browser, and experience a new level of convenience and intelligence.
  • [2025-04-17] - 🎉 We're thrilled to announce the release of new UI-TARS Desktop application v0.1.0, featuring a redesigned Agent UI. The application enhances the computer using experience, introduces new browser operation features, and supports the advanced UI-TARS-1.5 model for improved performance and precise control.
  • [2025-02-20] - 📦 Introduced UI TARS SDK, is a powerful cross-platform toolkit for building GUI automation agents.
  • [2025-01-23] - 🚀 We updated the Cloud Deployment section in the 中文版: GUI模型部署教程 with new information related to the ModelScope platform. You can now use the ModelScope platform for deployment.
<br>

Agent TARS

<p> <a href="https://npmjs.com/package/@agent-tars/cli?activeTab=readme"><img src="https://img.shields.io/npm/v/@agent-tars/cli?style=for-the-badge&colorA=1a1a2e&colorB=3B82F6&logo=npm&logoColor=white" alt="npm version" /></a> <a href="https://npmcharts.com/compare/@agent-tars/cli?minimal=true"><img src="https://img.shields.io/npm/dm/@agent-tars/cli.svg?style=for-the-badge&colorA=1a1a2e&colorB=0EA5E9&logo=npm&logoColor=white" alt="downloads" /></a> <a href="https://nodejs.org/en/about/previous-releases"><img src="https://img.shields.io/node/v/@agent-tars/cli.svg?style=for-the-badge&colorA=1a1a2e&colorB=06B6D4&logo=node.js&logoColor=white" alt="node version"></a> <a href="https://discord.gg/HnKcSBgTVx"><img src="https://img.shields.io/badge/Discord-Join%20Community-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord Community" /></a> <a href="https://twitter.com/agent_tars"><img src="https://img.shields.io/badge/Twitter-Follow%20%40agent__tars-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white" alt="Official Twitter" /></a> <a href="https://applink.larkoffice.com/client/chat/chatter/add_by_link?link_token=deen76f4-ea3c-4964-93a3-78f126f39651"><img src="https://img.shields.io/badge/飞书群-加入交流群-00D4AA?style=for-the-badge&logo=lark&logoColor=white" alt="飞书交流群" /></a> <a href="https://deepwiki.com/bytedance/UI-TARS-desktop"><img src="https://img.shields.io/badge/DeepWiki-Ask%20AI-8B5CF6?style=for-the-badge&logo=gitbook&logoColor=white" alt="Ask DeepWiki" /></a> </p>

<b>Agent TARS</b> is a general multimodal AI Agent stack, it brings the power of GUI Agent and Vision into your terminal, computer, browser and product. <br> <br> It primarily ships with a <a href="https://agent-tars.com/guide/basic/cli.html" target="_blank">CLI</a> and <a href="https://agent-tars.com/guide/basic/web-ui.html" target="_blank">Web UI</a> for usage. It aims to provide a workflow that is closer to human-like task completion through cutting-edge multimodal LLMs and seamless integration with various real-world <a href="https://agent-tars.com/guide/basic/mcp.html" target="_blank">MCP</a> tools.

Showcase

Please help me book the earliest flight from San Jose to New York on September 1st and the last return flight on September 6th on Priceline

https://github.com/user-attachments/assets/772b0eef-aef7-4ab9-8cb0-9611820539d8

<br> <table> <thead> <tr> <th width="50%" align="center">Booking Hotel</th> <th width="50%" align="center">Generate Chart with extra MCP Servers</th> </tr> </thead> <tbody> <tr> <td align="center"> <video src="https://github.com/user-attachments/assets/c9489936-afdc-4d12-adda-d4b90d2a869d" width="50%"></video> </td> <td align="center"> <video src="https://github.com/user-attachments/assets/a9fd72d0-01bb-4233-aa27-ca95194bbce9" width="50%"></video> </td> </tr> <tr> <td align="left"> <b>Instruction:</b> <i>I am in Los Angeles from September 1st to September 6th, with a budget of $5,000. Please help me book a Ritz-Carlton hotel closest to the airport on booking.com and compile a transportation guide for me</i> </td> <td align="left"> <b>Instruction:</b> <i>Draw me a chart of Hangzhou's weather for one month</i> </td> </tr> </tbody> </table>

For more use cases, please check out #842.

Core Features

  • 🖱️ One-Click Out-of-the-box CLI - Supports both headful Web UI and headless server execution.
  • 🌐 Hybrid Browser Agent - Control browsers using GUI Agent, DOM, or a hybrid strategy.
  • 🔄 Event Stream - Protocol-driven Event Stream drives Context Engineering and Agent UI.
  • 🧰 MCP Integration - The kernel is built on MCP and also supports mounting MCP Servers to connect to real-world tools.

Quick Start

<img alt="Agent TARS CLI" src="https://agent-tars.com/agent-tars-cli.png"> 
# Launch with `npx`.
npx @agent-tars/cli@latest

# Install globally, required Node.js >= 22
npm install @agent-tars/cli@latest -g

# Run with your preferred model provider
agent-tars --provider volcengine --model doubao-1-5-thinking-vision-pro-250428 --apiKey your-api-key
agent-tars --provider anthropic --model claude-3-7-sonnet-latest --apiKey your-api-key

Visit the comprehensive Quick Start guide for detailed setup instructions.

Documentation

🌟 Explore Agent TARS Universe 🌟

<table> <thead> <tr> <th width="20%" align="center">Category</th> <th width="30%" align="center">Resource Link</th> <th width="50%" align="left">Description</th> </tr> </thead> <tbody> <tr> <td align="center">🏠 <strong>Central Hub</strong></td> <td align="center"> <a href="https://agent-tars.com"> <img src="https://img.shields.io/badge/Visit-Website-4F46E5?style=for-the-badge&logo=globe&logoColor=white" alt="Website" /> </a> </td> <td align="left">Your gateway to Agent TARS ecosystem</td> </tr> <tr> <td align="center">📚 <strong>Quick Start</strong></td> <td align="center"> <a href="https://agent-tars.com/guide/get-started/quick-start.html"> <img src="https://img.shields.io/badge/Get-Started-06B6D4?style=for-the-badge&logo=rocket&logoColor=white" alt="Quick Start" /> </a> </td> <td align="left">Zero to hero in 5 minutes</td> </tr> <tr> <td align="center">🚀 <strong>What's New</strong></td> <td align="center"> <a href="https://agent-tars.com/beta"> <img src="https://img.shields.io/badge/Read-Blog-F59E0B?style=for-the-badge&logo=rss&logoColor=white" alt="Blog" /> </a> </td> <td align="left">Discover cutting-edge features & vision</td> </tr> <tr> <td align="center">🛠️ <strong>Developer Zone</strong></td> <td align="center"> <a href="https://agent-tars.com/guide/get-started/introduction.html"> <img src="https://img.shields.io/badge/View-Docs-10B981?style=for-the-badge&logo=gitbook&logoColor=white" alt="Docs" /> </a> </td> <td align="left">Master every command & features</td> </tr> <tr> <td align="center">🎯 <strong>Showcase</strong></td> <td align="center"> <a href="https://github.com/bytedance/UI-TARS-desktop/issues/842"> <img src="https://img.shields.io/badge/View-Examples-8B5CF6?style=for-the-badge&logo=github&logoColor=white" alt="Examples" /> </a> </td> <td align="left">View use cases built by the official and community</td> </tr> <tr> <td align="center">🔧 <strong>Reference</strong></td> <td align="center"> <a href="https://agent-tars.com/api/"> <img src="https://img.shields.io/badge/API-Reference-EF4444?style=for-the-badge&logo=book&logoColor=white" alt="API" /> </a> </td> <td align="left">Complete technical reference</td> </tr> </tbody> </table> <br/> <br/> <br/>

UI-TARS Desktop

<p align="center"> <img alt="UI-TARS" width="260" src="./apps/ui-tars/resources/icon.png"> </p>

UI-TARS Desktop is a native GUI agent for your local computer, driven by UI-TARS and Seed-1.5-VL/1.6 series models.

<div align="center"> <p> &nbsp&nbsp 📑 <a href="https://arxiv.org/abs/2501.12326">Paper</a> &nbsp&nbsp | 🤗 <a href="https://huggingface.co/ByteDance-Seed/UI-TARS-1.5-7B">Hugging Face Models</a>&nbsp&nbsp | &nbsp&nbsp🫨 <a href="https://discord.gg/pTXwYVjfcs">Discord</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://www.modelscope.cn/collections/UI-TARS-bccb56fa1ef640">ModelScope</a>&nbsp&nbsp <br> 🖥️ Desktop Application &nbsp&nbsp | &nbsp&nbsp 👓 <a href="https://github.com/web-infra-dev/midscene">Midscene (use in browser)</a> &nbsp&nbsp </p> </div>

Showcase

<!-- // FIXME: Choose only two demo, one local computer and one remote computer showcase. -->
InstructionLocal OperatorRemote Operator
Please help me open the autosave feature of VS Code and delay AutoSave operations for 500 milliseconds in the VS Code setting.<video src="https://github.com/user-attachments/assets/e0914ce9-ad33-494b-bdec-0c25c1b01a27" height="300" /><video src="https://github.com/user-attachments/assets/01e49b69-7070-46c8-b3e3-2aaaaec71800" height="300" />
Could you help me check the latest open issue of the UI-TARS-Desktop project on GitHub?<video src="https://github.com/user-attachments/assets/3d159f54-d24a-4268-96c0-e149607e9199" height="300" /><video src="https://github.com/user-attachments/assets/072fb72d-7394-4bfa-95f5-4736e29f7e58" height="300" />

Features

  • 🤖 Natural language control powered by Vision-Language Model
  • 🖥️ Screenshot and visual recognition support
  • 🎯 Precise mouse and keyboard control
  • 💻 Cross-platform support (Windows/MacOS/Browser)
  • 🔄 Real-time feedback and status display
  • 🔐 Private and secure - fully local processing

Quick Start

See Quick Start

Contributing

See CONTRIBUTING.md.

License

This project is licensed under the Apache License 2.0.

Citation

If you find our paper and code useful in your research, please consider giving a star :star: and citation :pencil:

@article{qin2025ui,
  title={UI-TARS: Pioneering Automated GUI Interaction with Native Agents},
  author={Qin, Yujia and Ye, Yining and Fang, Junjie and Wang, Haoming and Liang, Shihao and Tian, Shizuo and Zhang, Junda and Li, Jiahao and Li, Yunxin and Huang, Shijue and others},
  journal={arXiv preprint arXiv:2501.12326},
  year={2025}
}

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