Architecture Patterns

A platform acts as both MCP client and server, creating a two-way intelligence bridge between internal data and external AI agents.

Teams own their own MCP servers with a central discovery layer — high autonomy, no central gateway, ideal for platform-engineering orgs.

A single central MCP gateway routes all agent requests to downstream services — full audit trail, unified auth, and consistent policy enforcement.

MCP wraps existing internal REST/GraphQL APIs without rebuilding them — lowest migration cost for enterprises with established API infrastructure.

MCP tools are classified by risk level (read / write / admin) with progressively stricter auth gates — governs what agents can do, not just what they can see.

Developers get MCP access to internal tools inside an isolated sandbox — full capability for testing and building, zero production blast radius.