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 MCPs

Filesystem Access

Provides tools to interact with the local filesystem (read, write, list). Requires user configuration of allowed paths.

Read and analyze documents on your local drive
Organize files based on content or metadata
Save generated content directly to your computer

Playwright

Provides tools for browser automation, allowing AIOS to browse the web, extract information, and interact with web applications.

Research information across multiple websites
Fill out online forms automatically
Screenshot and save web content

Google Meet

Integrates with Google Meet to schedule, join, and manage video conferences directly through your AI assistant.

Schedule meetings with voice commands
Join video conferences with one click
Get meeting summaries and action items

Google Calendar

Connect your Google Calendar to schedule events, get reminders, and manage your time more effectively.

Create and edit calendar events
Get intelligent scheduling suggestions
Set up reminders for upcoming deadlines

Gmail

Link your Gmail account to read, write, and organize emails with the help of your AI assistant.

Draft professional emails quickly
Summarize email threads
Organize inbox based on content

Notion

Integrate with Notion to create, edit, and organize notes, documents, and projects.

Create structured content in Notion
Organize and categorize information
Enhance your knowledge management

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 Model Context Protocol
v2.0
Available MCPs
Filesystem Access
Playwright
Google Workspace
YouTube Transcript
Sequential Thinking
Filesystem Access
Access and manipulate files on your system
aios run --mcp filesystem --action list --path "/documents"
Results
projects/
templates/
📄report.docx
📄presentation.pptx

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.

AIOS - Advanced AI Integration Tool