Know where you stand on MCP — and where to go next.
A one-week, expert-led assessment of your Model Context Protocol architecture, security posture, and organizational readiness — delivered as a scored maturity model and actionable roadmap.
Flat rate: $7,500 • Typical turnaround: 1 week • Full-stack coverage
We work under NDA and follow least-privilege access. If source access is constrained, we can review via screenshare or sanitized config exports.
MCP adoption is accelerating — but readiness isn't
The Model Context Protocol is now the industry standard for connecting AI agents to tools and data. But most organizations are deploying it without a maturity framework.
Fragmented AI integrations
Every tool, every data source, every agent has its own connector. MCP standardizes this — but only if your architecture is ready for it.
Security is an afterthought
Prompt injection, credential leakage, and overprivileged tool access are common when MCP servers ship without proper OAuth 2.1 and transport-layer controls.
No governance or lifecycle model
Teams deploy MCP servers ad-hoc with no versioning strategy, no deprecation policy, and no way to track which agents use which tools.
The 6-level MCP maturity model
We score your organization across six maturity levels — from ad-hoc tool integrations to fully autonomous multi-agent orchestration.
Manual integrations, no MCP awareness, siloed tooling.
Piloting MCP on a single use case, basic server setup.
Documented standards, security baselines, team alignment.
Centralized registry, observability, automated testing.
Cross-team reuse, cost controls, continuous improvement.
Self-healing agents, dynamic orchestration, full governance.
What we assess
Six dimensions that determine whether your MCP implementation is ready for production — or creating hidden risk.
Server architecture & tool design
MCP server topology, transport selection (stdio vs. streamable HTTP), tool schema quality, and resource exposure patterns.
Security & authorization
OAuth 2.1 flows, token scoping, transport-layer encryption, prompt injection defenses, and secrets management.
Governance & lifecycle management
Server registry, versioning strategy, deprecation policies, change management, and compliance alignment.
Multi-agent context orchestration
How context flows between agents, tool routing, sampling patterns, and cross-agent state management.
Observability & telemetry
Logging, tracing, cost tracking, error budgets, and the ability to debug agent-tool interactions in production.
Organizational readiness
Team skills, internal documentation, adoption strategy, and the operational model for scaling MCP across the org.
Deliverables you can act on
You get a scored maturity model and a prioritized roadmap — not a slide deck full of generalities.
Maturity scorecard
A dimension-by-dimension score placing your organization on the 6-level maturity model, with benchmarks against industry peers.
Gap analysis
A clear map of what's working, what's missing, and what's actively creating risk across your MCP implementation.
Risk register
Top security, governance, and architectural risks — with severity ratings and concrete mitigation steps.
90-day roadmap
A prioritized plan to move up at least one maturity level, with quick wins, foundational work, and production hardening milestones.
Haven't adopted MCP yet? We also deliver a migration assessment — evaluating your current integration landscape and providing a phased adoption plan.
Maturity scorecard
Example output structure
How it works
A focused, one-week engagement designed for minimal disruption and maximum signal — with a clear executive readout.
Kickoff + scoping
Align on goals, map the current MCP footprint, and agree on access model and assessment boundaries.
Architecture & integration review
Review MCP server configurations, tool schemas, transport layers, and how agents discover and invoke tools.
Security & governance audit
Evaluate authorization flows, secrets handling, access controls, and lifecycle management practices.
Synthesis + executive readout
Deliver the maturity scorecard, gap analysis, and 90-day roadmap — then align on the next phase.
Simple, transparent pricing
Flat rate engagement. Clear scope. Zero surprises.
Need a broader assessment? Contact us for custom enterprise pricing.
MCP maturity assessment package
Designed for organizations deploying or scaling MCP-based AI agent integrations.
- Full-stack MCP architecture review
- Security & authorization audit
- Governance maturity evaluation
- Multi-agent readiness assessment
- Risk register + 90-day roadmap
- Executive presentation + Q&A
Frequently asked questions
Details on scope, access, and what you receive.
How long does the assessment take?
Typically 1 week. Days 1–3 cover discovery, architecture review, and security audit. Days 4–5 are for synthesis, scoring, and the executive readout.
We haven't adopted MCP yet — is this still useful?
Absolutely. The assessment evaluates your current integration landscape and provides an MCP adoption roadmap — including architecture recommendations, security baselines, and a phased migration plan.
What access do you need?
Ideally, read access to MCP server configs, tool schemas, and agent orchestration code. If access is constrained, we can work via screenshare or sanitized exports.
Does this cover multi-agent setups?
Yes. We assess how context flows between agents, how tools are shared, and whether your orchestration patterns are ready for production-scale multi-agent workloads.
What MCP spec version do you assess against?
We assess against the latest stable MCP specification, currently governed by the Agentic AI Foundation under the Linux Foundation. We track spec changes and flag any areas where your implementation may be out-of-date.
What happens after the assessment?
You can execute the roadmap internally, or we can support implementation — from MCP server hardening and registry setup to team enablement and production rollout.