Model Context Protocol (MCP)
Turn your AI into a powerful assistant by connecting it to the tools you already use
What is an MCP?
Model Context Protocol (MCP) is an open standard that creates seamless connections between AI models and real-world data sources or tools. Think of it as a "USB-C for AI" – a universal connector that transforms your AI from a conversational tool into a powerful interactive assistant that can access files, browse the web, query databases, and interact with your existing systems, all with robust security controls.
Expand AI Capabilities
MCP bridges the gap between powerful language models and your everyday tools and systems. Instead of just chatting with your AI, you can accomplish real tasks together – whether that's analyzing your company data, automating workflows, or accessing information that would otherwise remain locked in separate applications.
Seamless Integration Ecosystem
Connect your AI to your entire technology stack without complex custom development. MCP's growing library of pre-built connectors works with popular business tools, databases, and services right out of the box. This dramatically reduces implementation time and allows your AI assistant to access the full context of your digital workspace.
Modular Design
Implement only the capabilities you need. Each protocol module functions independently, allowing you to customize your AI's abilities to match your specific requirements. Start with basic file access and expand to more complex integrations as your needs evolve.
Future-Proof Extension Platform
Our extensible architecture and growing developer ecosystem ensure MCP evolves alongside emerging technologies. As new data sources, protocols, and AI capabilities emerge, your MCP implementation can adapt without requiring a complete rebuild of your AI integration strategy.
MCP Directory
See all MCPsFilesystem Access
Provides tools to interact with the local filesystem (read, write, list). Requires user configuration of allowed paths.
Playwright
Provides tools for browser automation, allowing AIOS to browse the web, extract information, and interact with web applications.
Google Meet
Integrates with Google Meet to schedule, join, and manage video conferences directly through your AI assistant.
Google Calendar
Connect your Google Calendar to schedule events, get reminders, and manage your time more effectively.
Gmail
Link your Gmail account to read, write, and organize emails with the help of your AI assistant.
Notion
Integrate with Notion to create, edit, and organize notes, documents, and projects.
MCP Management
AIOS includes a comprehensive MCP Extension Management interface that gives you complete control over which capabilities are available to your AI assistant. Enable, disable, and configure MCPs with just a few clicks.
- •Toggle MCPs on/off as needed for different tasks
- •Install new MCPs from our directory
- •Monitor performance and optimize configurations effortlessly
aios run --mcp filesystem --action list --path "/documents"
How MCPs Work
AI Assistant
When you ask your AI to perform a task that requires real-world interaction, it identifies the appropriate MCPs needed.
MCP Controller
The MCP Controller validates permissions, executes the requested actions, and enforces security boundaries.
External Services
The appropriate services are accessed (files, browsers, APIs), actions are performed, and results are returned to your AI assistant.
This secure workflow ensures that AI interactions with external systems are controlled, monitored, and limited to only what you've explicitly authorized.
Interested in extending AIOS?
Access our developer documentation to build your own MCPs. Create custom integrations with your favorite services or internal systems to make your AI assistant even more powerful.