Model Context Protocol (MCP)
An open standard that defines a uniform way for AI applications to connect to external tools and data sources, so any compliant client can use any compliant server.
In more detail
The Model Context Protocol standardizes how an AI application connects to external capabilities. Instead of every model integration being bespoke, MCP defines a common interface for exposing tools, data, and prompts, so a compliant client can talk to any compliant server. It is to AI tool access roughly what a common port standard is to hardware.
The value is composability. When tools speak a shared protocol, an AI system can pick them up without custom glue for each one, and a provider can expose its capabilities once and have many AI clients use them. That reduces the integration tax that otherwise grows with every new model and every new tool.
Where this shows up at Ceven
Ceven exposes a hosted MCP server, so its capabilities are available to other AI clients through the standard protocol rather than a proprietary integration. That means Ceven both orchestrates across 1,000+ tools internally and can be used as a tool provider by external AI systems that speak MCP.