
MCP-Server-Client-Computer-Use-Ai-Sdk
8
Github Watches
10
Github Forks
138
Github Stars
Computer Use AI SDK
-
We've built an MCP server that controls computer
-
You've heard of OpenAI's operator, you've heard of Claude's computer use. Now the open source alternative: Computer Use SDK from screenpipe.
-
It's native on macOS—no virtual machine bs, no guardrails. Use it with any app or website however you want.
-
No pixel-based bs—it relies on underlying desktop-rendered elements, making it much faster and far more reliable than pixel-based vision models.
-
You can now build your own agents getting started with our simple Hello World Template using our MCP server and client.
-
There are tools that our MCP Server provides out of the box:
- Launch apps
- Read content
- Click
- Enter text
- Press keys
-
These will be computational primitives to allow the AI to control your computer and do your tasks for you. What will you build? Come check us out at https://screenpi.pe
Demos
agent sending a message
https://github.com/user-attachments/assets/f8687500-9a8c-4a96-81b6-77562feff093
get latest whatsapp messages
open arc browser
Get started
git clone https://github.com/m13v/computer-use-ai-sdk.git
cd MCP-server-client-computer-use-ai-sdk
# Install Rust (if not already installed)
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
# Install Node.js and npm (if not already installed)
# Visit https://nodejs.org/ or use nvm
# run backend server
cd mcp-server-os-level
cargo run --bin server
# keep it running
Option 1: CLI Interface
# run CLI interface client in a new terminal (good for debugging)
cd mcp-client-cli-interface
npm install # install dependencies first
# Set your Anthropic API key as an environment variable
export ANTHROPIC_API_KEY=sk-ant-xxxx # Replace with your actual Anthropic API key
# For Windows, use: set ANTHROPIC_API_KEY=sk-ant-xxxx
# For permanent setup, add to your shell profile (.bashrc, .zshrc, etc.)
npx tsx main.ts
Option 2: Web app Interface
# run CLI interface client in a new terminal (good for debugging)
cd mcp-client-nextjs
npm install # install dependencies first
# Set API key via command line
echo "ANTHROPIC_API_KEY=sk-ant-XXXXXXXX" > .env # replace XXXXXXXX with your actual key
# Or append if you want to keep other env variables
# echo "ANTHROPIC_API_KEY=sk-ant-XXXXXXXX" >> .env
npm run dev
# go to provided localhost web page
What do I do with it?
- Build custom worfklows of agents to performs various actions
- Build custom UI to make it easy for users to automate their computer work
- Save workflow and run in cron
- Combine with other MCP servers to do something cool, e.g.: fill out a google sheet based on the history of people i talk to throughout the day
Request features and endpoints in github issues
https://github.com/m13v/computer-use-ai-sdk/issues/new/choose
相关推荐
I find academic articles and books for research and literature reviews.
Confidential guide on numerology and astrology, based of GG33 Public information
Converts Figma frames into front-end code for various mobile frameworks.
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease
Descubra la colección más completa y actualizada de servidores MCP en el mercado. Este repositorio sirve como un centro centralizado, que ofrece un extenso catálogo de servidores MCP de código abierto y propietarios, completos con características, enlaces de documentación y colaboradores.
Manipulación basada en Micrypthon I2C del expansor GPIO de la serie MCP, derivada de AdaFruit_MCP230xx
Servidor MCP para obtener contenido de la página web con el navegador sin cabeza de dramaturgo.
La aplicación AI de escritorio todo en uno y Docker con trapo incorporado, agentes de IA, creador de agentes sin código, compatibilidad de MCP y más.
Un poderoso complemento Neovim para administrar servidores MCP (protocolo de contexto del modelo)
Puente entre los servidores Ollama y MCP, lo que permite a LLM locales utilizar herramientas de protocolo de contexto del modelo
🧑🚀 全世界最好的 llM 资料总结(数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Resumen de los mejores recursos del mundo.
Plataforma de automatización de flujo de trabajo de código justo con capacidades de IA nativas. Combine el edificio visual con código personalizado, auto-anfitrión o nube, más de 400 integraciones.
Reviews

user_HJPTvWHb
As a devoted user of MCP-server-client-computer-use-ai-sdk by mediar-ai, I must say this SDK is incredibly powerful and user-friendly. It integrates seamlessly between server and client environments, utilizing AI to its fullest potential. The comprehensive documentation on GitHub (https://github.com/mediar-ai/MCP-server-client-computer-use-ai-sdk) makes it easy to set up and start using right away. Highly recommend for anyone looking to enhance their projects with AI capabilities!