MCP Support is live now in closed beta.
As AI-powered systems grow more sophisticated, their ability to connect with and leverage external tools becomes increasingly critical. Today, we’re excited to introduce MCP Support, a new integration feature in Superinterface that’s now available in closed beta.
The Model Context Protocol (MCP), recently released as a standard by Anthropic, allows assistants to interact with MCP servers that define both functions and their implementations. This capability streamlines connections to complex tools, enabling assistants to perform more advanced tasks with minimal setup.
What makes MCP powerful?
MCP fundamentally changes how AI assistants interact with external systems. Instead of manually defining individual API functions, MCP servers offer a comprehensive interface with pre-configured functions. This means developers can connect an assistant to an MCP server and instantly unlock a suite of tools and capabilities.
For example, an MCP server for Google Drive could give an assistant the ability to:
View, edit, rename, and organize files.
Automate file management workflows.
Access all supported functions with a single integration.
This streamlined process also applies to more technical use cases, like connecting to cloud-hosted databases. With MCP, assistants can manage data, add records, or automate database queries without requiring bespoke integrations for every task.
Enhancing AI Assistant Capabilities
MCP support represents a significant leap forward for AI assistant development. By simplifying integrations and enabling assistants to access complex tools autonomously, MCP reduces development overhead while expanding the range of potential applications.
By adopting MCP, Superinterface allows your AI assistants to:
Integrate with tools like Google Drive: Assistants can manage files—view, edit, rename, and organize—directly within Google Drive, streamlining workflows.
Connect to cloud-hosted databases: Assistants can automate data entry, updates, and queries, enhancing efficiency in data management tasks.
Access multiple functions through a single integration: MCP servers provide a suite of functions, eliminating the need to define each individually, thus simplifying the development process.
As MCP adoption grows, we believe it will reshape expectations for what AI assistants can do, making them more intuitive, flexible, and capable of handling sophisticated workflows.
How to get started
MCP support is currently available in closed beta. If you’re interested, you can book a 1:1 demo where we’ll walk you through how to enable MCP servers for your assistants and explore potential use cases tailored to your needs.
🌟 Coming soon: Self-serve access to MCP for all Superinterface customers.
For more information, visit Anthropic's official documentation on MCP.