Model Context Protocol (MCP): definition and value
Definition
The Model Context Protocol (MCP) is an open standard that describes how an AI assistant talks to external tools and data sources. Instead of building a custom interface for each application, a source exposes its capabilities once through MCP, and any compatible assistant can use them. The protocol cleanly separates what the assistant may do from what it may see.
Why the Term Matters
A personal assistant is only as useful as what it can reach. MCP makes that connection reusable: a calendar, a document store or the company brain is exposed once as an MCP source and is then open to any assistant. That saves integration effort and keeps rights in one place. Who knows the standard builds a knowledge brain that grows, rather than starting over with every new tool.
When It Is Relevant
- An assistant should reach several systems, not just a single one.
- Tools and sources should be reusable rather than rebuilt per model.
- Rights and access must stay central and traceable.
- The setup should be swappable if the model changes.
When Not
When an assistant permanently uses only one fixed source, a direct connection is often leaner than a protocol. For a quick test without real systems, the setup is not worth it yet. MCP pays off once several sources and tools come together.
Industries That Use It
- IT and software: an assistant that reaches repositories, tickets and docs through MCP.
- Professional services: a personal assistant using calendar, storage and CRM as shared tools.
- Industry and machinery: connecting manuals and maintenance systems to a central knowledge brain.
- Administration: controlled access to specialist applications through one standard.
Typical Use Cases
- The company brain is exposed as an MCP source and used by several assistants.
- A personal assistant reads the calendar through MCP and files drafts in storage.
- An agent uses several MCP tools in a chain, each with its own rights boundary.
- A model swap leaves the connected tools unchanged.
- New sources are added without rebuilding existing integrations.
Decision Guide
| Signal | MCP fits | Alternative |
|---|---|---|
| Several sources and tools | one standard connection through MCP | point to point gets messy fast |
| Tools should be reusable | expose once as an MCP source | avoid duplicate integrations |
| Only one fixed source | often not needed | a direct connection suffices |
| Model should be swappable | protocol decouples model and tool | tight coupling makes swaps hard |
Example
A company exposes its company brain and its calendar as MCP sources. The leadership team's personal assistant and a support assistant both reach the same sources, each only within its allowed scope. When the model is later swapped, the connections stay in place. The example describes the method, not an asserted saving.
Service Connection
A company brain connected through MCP feeds a personal AI assistant and, for tool-using processes, targeted AI agents.
Sources
This framing describes the open MCP standard and its common use. Concrete security, rights and maturity depend on the implementation and the connected systems and must be checked case by case.
