Servers

MCP servers are programs that expose specific capabilities to AI applications through standardized protocol interfaces.

modelcontextprotocol.io

In Infragate, MCP Servers differ from traditional servers in that their configuration of tools and data sources is fully dynamic. This means that you can add, remove, or modify tools and data sources without needing to redeploy or restart the server. The changes are automatically applied within seconds. This is particularly useful in scenarios where the underlying data sources or the requirements of the AI applications may change frequently.

Moreover, Infragate’s MCP Servers are serverless and managed, which means you don’t have to worry about the underlying infrastructure, scaling, or maintenance. You can focus on defining the tools and data sources that your AI applications need, while Infragate takes care of the rest.