What it is
The Model Context Protocol is an open standard for exposing tools, data and actions to AI assistants. An MCP server is the adapter that makes a specific system - a CRM, a database, an internal API - safely available to an AI client.
What business problem it solves
AI assistants are only as useful as the context they can reach. Without a standard connector, every integration is bespoke and brittle. MCP makes a company's systems reusable across different AI clients.
When it's useful
When you want AI tools to work with your real data and systems rather than copy-pasted snippets, when several AI clients need the same integration, or when you're building an internal AI capability you expect to grow.
Who it's for
SMBs with existing software systems and a genuine intent to use AI against them - usually those with some technical capacity or a development partner.
The limitations
MCP is young and evolving. Security and access control must be designed carefully - an MCP server is a door into your systems. It is infrastructure, not an outcome on its own; the value comes from what connects to it.
How XP Labs approaches it
XP Labs builds MCP servers scoped to specific systems with least-privilege access, clear audit trails, and a defined set of tools - then connects them to the AI clients the business actually uses.
Questions to ask before implementing it
- Which systems would genuinely benefit from AI access?
- What is the least privilege the server needs?
- How are actions logged and reviewed?
- Which AI clients will consume this, now and later?
- What happens if the protocol changes?