MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools. — https://modelcontextprotocol.io/introduction
- To expose your data to AI → Use an MCP server
- To access data → Build an MCP client
Introducing the Model Context Protocol \ Anthropic from Nov 2024.
- They support hundreds of applications -
- They manage authentication and authorization for your MCP integration
- Support for 20,000+ different actions for automation
- Very easy to integrate with Claude and Cursor
Example usage of MCP: You add Slack, GitHub, and Linear servers to Cursor using Composio-MCP. You can then ask Cursor to work on the top-priority issue from Linear, finish it, submit a pull request to GitHub, and notify the team on Slack. Suddenly, Cursor is not just about coding but an end-to-end workspace.