Kuhn Consulting works directly with clients from the first architecture decision through production deployment. Every engagement is shaped around the actual problem, whether that's building a new platform from scratch, adding AI to a system you already run, or untangling a specific architectural knot.
Add AI features that hold up in production, built across the major providers.
Make your existing APIs usable by AI assistants and agents. With Kuhn Consulting's API2MCP platform, your REST APIs become Model Context Protocol (MCP) servers, so tools like Claude can call your services directly. No custom integration code to build or maintain.
Launch a SaaS product that can scale: multi-tenant architecture built for growth, security, and the day-to-day work of running it.
Ship fast, reliable web applications, built on the proven Microsoft .NET stack.
Reach users on every platform from one codebase, with native performance on Windows, iOS, macOS, and Android and no separate apps to maintain.
Take payments without the headaches: Stripe, PayPal, and in-app purchases, with the full subscription lifecycle handled.
Protect your users and their data with modern authentication: passwordless login, multi-factor security, and enterprise SSO.
Keep users in the loop with reliable, compliant messaging: email, SMS, and real-time notifications across multiple providers.
Build or enhance learning management platforms with 20+ years of e-learning industry expertise and standards compliance.
Straight answers about how engagements work.
AI integration consulting means connecting your application to large language model (LLM) APIs (OpenAI, Anthropic Claude, Google Gemini, or Azure OpenAI) and building the infrastructure around them: prompt engineering, streaming responses, session and conversation history, cost controls, and per-user usage analytics. Kuhn Consulting ships production-grade implementations, not prototypes.
Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude call external tools and APIs directly. Instead of users copy-pasting data between their tools and an AI, MCP lets the AI query your systems on demand. Kuhn Consulting builds MCP servers that expose your REST APIs as AI-native tools, and also built API2MCP, a platform that automates this for any OpenAPI-documented service.
A minimum viable SaaS backend with authentication, multi-tenancy, subscription billing, and a basic API typically takes 8 to 16 weeks depending on complexity. Kuhn Consulting speeds that up with the Wildwood Platform, a production-tested SaaS backend that already has these pieces built, so new products launch on enterprise-grade infrastructure in a fraction of the time.
Yes. Kuhn Consulting is based in Eagle, Colorado and works remotely with clients across the United States. Every engagement is handled directly by Mark Kuhn, with no subcontractors or junior developers.
Tell me what you're building, and let's figure out if it's a fit.