Glossary
Model Context Protocol
An open standard for exposing tools and data to AI assistants consistently across clients.
- Also called
- MCP
MCP standardises how an assistant discovers and calls tools, so one integration works across every compatible client instead of being rebuilt per vendor.
Because MCP servers expose real systems, the permission model is the design centre, least privilege first, read-only before write.
The practical benefit shows up when you have more than one AI client. Without a standard, connecting five internal systems to three assistants is fifteen integrations. With MCP it is five servers that any compatible client can use, which changes the economics of internal tooling considerably.
Versioning deserves thought from the start. Tools that an assistant has learned to call become an interface other people depend on, and changing a parameter later breaks behaviour in ways that are hard to trace, so the same care you would give a public API applies here.
Related terms, in context
The concepts you almost always meet alongside model context protocol.
- Tool calling
- Letting a model invoke defined functions with structured arguments, so it can act rather than only describe.
- AI agent
- A system that plans a sequence of steps, calls tools, and changes state in real systems, rather than only producing text.
Where this shows up in our work
Model Context Protocol is not an abstraction for us. It is a decision we make on live projects. It shows up most directly in mcp server development, ai agent development, where getting it wrong has a cost someone can measure.
If you are evaluating a vendor on this, the useful question is not whether they can define the term. It is what they measure, what they would refuse to do, and what happens in their system when the assumption behind model context protocol stops holding.
Questions
What is Model Context Protocol?
An open standard for exposing tools and data to AI assistants consistently across clients.
Does Orqent Labs build this?
Yes, MCP Server Development and AI Agent Development. We work across India, covering all 19,238 PIN codes remotely.
Building something that involves model context protocol?
We will tell you honestly whether it is the right approach for your problem.
Or email bd@dtrasglobal.com · call +91 74118 77878