Ship It Live — $1,999 flat
Design + build + deploy · kickoff in 24h · limited slots
Ship It Live · MCP sprint
Your product, usable by AI assistants, in 14 days.
The integration surface your customers will expect within a year. Built properly, with tools an assistant can actually use without guessing.
Quick answer
A Model Context Protocol server exposing your product to Claude and other AI clients can be designed, built and deployed in 14 days for a fixed $1,999. That covers tool and resource design, authentication, error handling, documentation and deployment. Well-designed tools matter more than the number of them.
The plan
Day one to day 14, written down.
You get this schedule before you commit, not after. If a phase slips, that is mine to absorb — the price and the date were agreed before anything started.
- 1
Days 1–2
Tool design
Which operations to expose and how to describe them. This is the whole job — a badly named tool with a vague description is one an assistant will misuse confidently.
- 2
Days 3–6
Build the core
Tools, schemas, validation and error paths. Errors are written to tell a model what to do differently, not just that something failed.
- 3
Days 7–10
Auth and hardening
Authentication, scoping and rate limits. An MCP server is an API surface with an unusually creative client, so the limits matter.
- 4
Days 11–13
Test with real clients
Driven from an actual assistant against real tasks. Tools that read well on paper often fail the moment a model has to choose between them.
- 5
Day 14
Ship
Deployed, documented, with install instructions and a short handover on adding tools yourself.
What $1,999 gets you
Everything needed to launch — nothing padding the invoice.
Who books this
Built for
SaaS products whose customers already ask about AI integration
API-first companies who want to be reachable from inside assistants
Internal platform teams giving their own agents safe access to systems
The honest part
When 14 days is the wrong answer.
A fixed deadline only works when the scope genuinely fits inside it. These are the cases where I will tell you so rather than take the booking.
Exposing destructive operations without confirmation. Delete, refund and send are gated or excluded — an assistant misreading a request should not be able to be catastrophic.
Wrapping an entire API surface tool-for-tool. Fifty tools is worse than eight; models choose badly from long lists, and I will argue for the shorter one.
Products with no API and no data model yet. That is the project to do first, and this sits on top of it.
Questions
Before you book
A standard way to expose your product's capabilities to AI assistants, so a model can use your tools directly instead of a user copying data between windows. The Model Context Protocol is the interface, and a server is your side of it.
Other sprints
14 days from now, this could be live.
A 30-minute call decides whether the scope fits. If it doesn't, I'll tell you what would.