MCP Consulting for Enterprise AI
Build, secure, and govern Model Context Protocol deployments for enterprise AI.
MCP lets AI assistants talk to your tools and data through a standard protocol — when it's set up right. We design the servers, the identity model, and the guardrails so it's safe to ship.
MCP, production-ready
Four deliverables from prototype to safe-to-ship deployment.
Build MCP servers
Custom MCP servers that expose your internal tools, data, and workflows to AI assistants with typed schemas, streaming responses, and proper error boundaries.
Secure MCP deployments
Identity-aware access — OAuth / OIDC, scoped tokens, tenant isolation — plus rate limiting, audit logs, and secret management so MCP servers are safe to point at production systems.
Govern agent behaviour
Policy engines, tool-use allowlists, human-in-the-loop checkpoints, and red-team harnesses. You know what the agents can do, when they did it, and why.
Operate at scale
Observability for MCP traffic — call volume, latency, failure rates, per-tool cost — and the runbooks to triage when something misbehaves.
Related services
Ship MCP without shipping an incident
We'll review your proposed MCP surface, identify the risks, and design a server, identity, and observability model that survives a security review.