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Glossary

MCP

Model Context Protocol — the emerging standard for how AI agents discover and call tools, data, and services.

What MCP is

Model Context Protocol (MCP) is a standard for giving AI agents access to tools and data. Before MCP, every agent-builder framework handled tool-calling its own way. MCP provides a common interface: a server exposes a set of tools with typed inputs and outputs, and any MCP-capable agent can discover and invoke them.

Think of it as an API pattern tailored for the LLM era — with discovery, streaming, and error handling designed for how agents actually work.

The protocol is supported natively by Claude, Copilot Studio, an increasing number of agent frameworks, and a growing ecosystem of third-party MCP servers.

Why the enterprise needs to care

MCP is powerful because it makes agent capability composable — you expose a tool once, any agent can use it. It’s also dangerous for exactly the same reason. Unmanaged MCP servers mean:

  • Security exposure — research consistently shows high exploit rates on unmanaged MCP endpoints.
  • Cost surprises — LLMs call MCP tools unpredictably; unmanaged endpoints can burn tokens quickly.
  • Audit gaps — who called what tool against which data with what authority? Hard to answer without governance.
  • Shadow IT amplified — individual teams deploy useful MCP tools; collectively, the organization loses visibility.

Gartner projects 40% of enterprise MCP deployments will be affected by security incidents by 2027 without governance interventions.

How Tray.ai handles it

Agent Gateway is Tray.ai’s governed MCP layer. It provides:

  • Managed MCP Servers — spin up, version, publish, deprecate on a governed path.
  • Connectors as MCP Tools — every Tray.ai connector becomes a governed agent tool.
  • RBAC + audit — who can call what, logged completely.
  • Token cost optimization — curated composite tools instead of raw many-tool endpoints.
  • Flexible auth — OAuth, API keys, JWT, rotatable centrally.

See the global insurer case study — the flagship example of what governed MCP looks like in production.

The broader point

MCP is the right primitive for agents to reach into enterprise systems. The question isn’t “should we use MCP” — it’s “who governs our MCP deployment.” That’s where Agent Gateway fits.

See how MCP works at Tray.ai

A tailored demo against your real systems.