Glossary

Model Context Protocol (MCP)

An open standard for connecting AI models to external tools and data sources. A useful coordination layer, but not a replacement for serious tool engineering.

Model Context Protocol. MCP, is an open standard for how AI agents discover, describe, and call external tools. It defines a common shape for tool definitions, authentication, and result handling, so that an agent built for one platform can use tools defined for another.

The value is real but narrow. MCP solves the interoperability question: 'how do I expose this database to any agent that wants to use it.' It does not solve the reliability question: 'how do I make sure the agent calls the right tool with the right arguments at the right time.' The hard parts of agentic AI are still hard, MCP or not.

For an SME buyer, MCP is most relevant when evaluating whether a vendor's tools are portable. A vendor whose tools speak MCP is, all else equal, easier to integrate with other systems and easier to switch from. A vendor whose tools are proprietary is locking you in by definition.

How Vorel does this

Vorel's tool layer is MCP-compatible, your CRM adapters are portable to any MCP-aware agent, not just ours.

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