About Computer Use AI SDK
An open-source computer control MCP server enabling AI to natively automate macOS applications and websites. Uses desktop-rendered elements for faster, more reliable interaction.
Key features
- 01Launch applications and read content
- 02Click and text input operations
- 03Key press control
- 04Desktop element-based interaction
- 05CLI and web app interfaces
Use cases
- 01Building computer automation agents
- 02Automating routine tasks and workflows
- 03Combining with other MCP servers for complex automation
MCP support
This MCP server provides computer control capabilities including app launching, content reading, clicking, and text input operations for use by MCP clients and AI models.
Details
From the project READMEComputer Use AI SDK
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We've built an MCP server that controls computer
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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.
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It's native on macOS—no virtual machine bs, no guardrails. Use it with any app or website however you want.
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No pixel-based bs—it relies on underlying desktop-rendered elements, making it much faster and far more reliable than pixel-based vision models.
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You can now build your own agents getting started with our simple Hello World Template using our MCP server and client.
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There are tools that our MCP Server provides out of the box:
- Launch apps
- Read content
- Click
- Enter text
- Press keys
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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
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.