AI Infrastructure & MCP Consulting
MCPWorks Technologies offers select consulting engagements in AI infrastructure integration, MCP protocol deployment, and DevOps modernization. We bring 30 years of infrastructure experience and hands-on expertise building secure AI agent execution environments — the same technology that powers the MCPWorks platform.
We take on a limited number of engagements that align with our core expertise. Every engagement is scoped with clear deliverables, timelines, and exit criteria.
What can an AI infrastructure safety consultant help with?
AI Infrastructure Safety
Sandboxed execution environments for AI agents using Linux namespaces, cgroups, and seccomp filtering. Security audits for LLM-driven automation pipelines. Guardrails and isolation architecture for production AI workloads.
MCP Protocol Integration
Expose internal services as MCP tools for AI assistants — Claude Code, GitHub Copilot, or custom agents. MCP server security consulting, authentication patterns, and deployment architecture for enterprise environments.
DevOps Modernization
Container migration, CI/CD pipeline design, AWS infrastructure optimization, and Infrastructure as Code implementation. Practical, production-tested approaches — not theoretical frameworks.
Fractional Platform Engineering
Ongoing infrastructure management for companies that need senior-level expertise without a full-time hire. Retainer-based engagements with explicit scope boundaries and defined on-call terms.
How do MCP consulting engagements work?
Assessment & Advisory (1-2 weeks)
Audit your infrastructure readiness for AI agent integration. Evaluate security posture for MCP server deployments. Deliver a findings report with prioritized recommendations.
Implementation (4-12 weeks)
Build out sandboxed execution environments, MCP server infrastructure, CI/CD pipelines, or container migrations. Defined deliverables, milestones, and exit criteria.
Fractional Retainer (ongoing)
Ongoing infrastructure management and architecture guidance. Monthly retainer with clear scope boundaries. Ideal for startups and SMBs in the 20-100 person range.
Get in touch
Describe your infrastructure challenge and we'll let you know if there's a fit. No sales funnel — just a straightforward conversation about your needs.
[email protected]Consulting FAQ
What is MCP server security consulting? +
MCP server security consulting involves auditing and hardening the infrastructure that connects AI assistants to your internal tools and services via the Model Context Protocol. This includes evaluating authentication patterns, sandboxing execution environments, implementing least-privilege access controls, and ensuring data processed by AI agents stays within defined security boundaries. As AI agents gain the ability to take real-world actions through MCP tools, securing these connections becomes critical infrastructure work.
What is an AI agent sandbox infrastructure? +
An AI agent sandbox is a secure, isolated execution environment where AI-generated code runs without access to the host system or other workloads. MCPWorks uses Linux namespaces, cgroups, and seccomp-bpf filtering (via nsjail) to create these sandboxes. In a consulting engagement, we help teams implement similar isolation for their own AI agent workflows — ensuring that when an AI assistant writes and executes code, it cannot access sensitive data, consume unbounded resources, or affect other processes.
How does MCP protocol integration work for enterprise teams? +
MCP protocol integration services help engineering teams expose their internal APIs, databases, and services as MCP-compatible tools that AI assistants can invoke. This means developers using Claude Code, GitHub Copilot, or internal AI agents can interact with your systems through natural language. We handle the MCP server architecture, authentication layer, tool schema design, and deployment — typically delivering a working integration within 4-8 weeks.
Do you publish consulting pricing? +
No. Every engagement is scoped individually based on complexity, timeline, and deliverables. We price to value — a container migration that saves $8K/month in AWS costs is priced differently from a two-week security audit. Reach out with your situation and we'll provide a clear, written scope with pricing before any work begins.