Your product, inside Claude.
A tenant-keyed remote MCP server with auth, rate limits and golden-trace tests, so the answer to “does it work in Claude?” stops being no.
FORCTO or Head of Product at a B2B SaaS company
WHENCustomers are asking whether your product works inside Claude or ChatGPT.
Your customers have moved into an AI client, and your product is on the other side of the window watching them work.
Scope
Which of your endpoints matter as tools. Almost always far fewer than your API surface suggests.
Build
Remote MCP server, tenant-keyed auth, rate limits, and tool descriptions written so a model reliably picks the right one.
Test
Golden traces. Real conversations pinned as fixtures, so a change on our side cannot silently break yours.
Ship
Deployed and documented, on your infrastructure or on ours.
Auth, rate limits, per-tenant keys, ready for your customers rather than for a demo.
A regression suite made of real conversations.
Written for the model as much as for your developers.
Live, with the runbook.
MCP servers in production: Douano, Marketing, Kompas and NextCV. Douano runs orders and stock on a live sales stack.
$12,800, two weeks.
Tell me where you are with this and I will tell you whether it is the right thing to start with. If it is not, I will say which one is.
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