zero to production mcp server in one week. deployed, documented, yours.
you want your AI tools to connect to your systems — databases, APIs, internal services. mcp is the way to do it, but the spec is moving fast, auth is tricky, and most tutorials stop at "hello world."
you need a production server with real auth, real error handling, and real documentation — not a weekend prototype.
a production-ready mcp server with:
documentation — how it works, how to add tools, how to maintain it. written for your team, not for me.
day 1 — kickoff session (4 hours): we scope the server together. what tools, what backends, what auth model. then we start building — live, on-camera. you'll have a working skeleton by end of session.
days 2-4 — async build: i build out the full server, tools, auth, tests, and deployment. you get daily updates and can steer as we go.
day 5 — handoff session (2 hours): we deploy together, walk through the code, and make sure your team can maintain and extend it. everything pushed to your repo.
$10,000 — includes the kickoff session, async build, handoff session, deployment, and full documentation.
typical timeline: 1 week from kickoff to deployed server.
assess: ai architecture audit · genai initiative prioritization · build vs buy analysis
build: idea-to-pilot sprint · pilot-to-production sprint
harden: ai governance layer setup
apprentice: building an MCP-native app from day one →
book an intro call — 45 minutes, no cost. we'll talk through what you want to connect and i'll sketch the architecture with you live.