MCP-Readiness Assessment & Integration

Overview

Model Context Protocol (MCP) became the way AI systems talk to your CRM, ITSM, DMS, and data warehouse in 2025–26 — adopted by Anthropic, OpenAI, Microsoft, AWS, and Google. Most mid-market companies are 12 months behind. We close the gap.

Honest about fit

A fit if…

Engineering leadership at a 50–500-employee company running (or funding) a RAG or Agentic build
Companies running 2+ internal systems that AI agents need to act against
Sponsors who accept that OAuth 2.1 + audit logging is non-negotiable

Not a fit if…

You want MCP as a standalone "future-readiness" exercise with no downstream use case — start with Discovery
Your internal systems have no APIs or accessible databases — out of scope
You want to expose MCP servers publicly to third parties — different threat model

What you get

Concrete deliverables. No hand-waving.

Assessment: system inventory scored on value × feasibility × security risk
Security posture review and a prioritized rollout roadmap
Working reference implementation against one non-production system
Integration: production MCP servers deployed via IaC (Terraform or CDK)
OAuth 2.1 (PKCE for humans, client credentials for services), tenant isolation verified
Audit logging on every tool call, joinable to your observability; internal red-team pen-test
30-day post-launch warranty on our own security and correctness criteria