Model Context Protocol (MCP)
Model Context Protocol is an open protocol for exposing tools, prompts, and structured resources to LLM-based applications in a standardized way. Instead of wiring each model integration separately, MCP servers present capabilities such as database access, ticket search, or file retrieval through a common interface. That makes it easier to give an AI system controlled access to external context while preserving permission boundaries, typed inputs, and predictable transport behavior across different clients and models.
Why it matters for B2B support
MCP matters in production AI because most useful workflows require data outside the model itself. Support, security, and ops teams use it to connect AI systems to internal APIs, logs, issue trackers, and documents without building one-off glue code for every tool and every model provider.
How Altor helps
Altor connects production investigation flows to external systems the same way Portkey connected AI support workflows to real operational data instead of relying only on prompt text.
FAQ
Why does MCP matter for enterprise AI?
Because models are only useful when they can access the right systems safely. MCP gives teams a repeatable way to expose those systems without custom integration work for every use case.
Is MCP a model vendor feature?
No. It is a protocol layer that can sit between many model providers and many internal tools.
Related terms
See Altor investigate a real ticket
We connect to your systems and diagnose a real ticket in 2 minutes during US hours.
Book a Demo