MCP Servers & Enterprise Tooling
One secure, governed doorway between AI applications and your data, tools and workflows, built on the open Model Context Protocol.
Every AI tool your teams adopt wants access to your data. Point-to-point integrations multiply fast and audit badly. MCP, the open Model Context Protocol, gives you one governed layer instead: approved tools, clear permissions, full telemetry, reusable across every AI client you run today and the ones you will add next year.
Why build an MCP layer instead of one-off integrations?
Because the integration you build for one AI application is wasted when the next one arrives. An MCP server is built once and reused. Same tools, same permissions, same audit trail, regardless of which model or client is calling.
What we deliver
- Remote MCP servers exposing approved resources, prompts and tools.
- Connectors for CRM, ERP, databases, document systems and internal APIs.
- Authentication, authorization, consent and tool-level policy enforcement.
- Versioning, testing, telemetry and the operational support to keep it healthy.
An MCP server should never become an unrestricted gateway. Least privilege, scoped tools and complete telemetry are the default, not an upgrade.
Pairs with
AI practices that plug into this work
More AI practices
The other crafts on the same foundation
Map your first MCP integration
Every engagement starts with a conversation about the problem, not the tech.