MCP

Model Context Protocol for enterprise AI

Architect MCP integrations with secure tool access, context boundaries, and governance — standardised interoperability without ad-hoc connectors.

MCP architecture

Reference designs for MCP hosts, servers, and clients in enterprise environments — including network, identity, and data boundaries.

Tool orchestration

Composable tool access with consistent schemas, versioning, and operational ownership.

Enterprise integrations

Connecting MCP to CRM, data warehouses, ticketing, and internal APIs without proliferating bespoke integrations.

Secure context management

Context scoping, redaction, and retention policies that prevent unintended data exposure across tools and models.

MCP governance & interoperability

Standards, review processes, and catalogues that let teams adopt MCP safely at scale.

MCP integration layer in enterprise AI architecture

Discuss MCP integration

Engineer MCP-enabled systems with security and operational controls from design through delivery.