A custom MCP (Model Context Protocol) server exposing your chosen tools to AI assistants like Claude or Cursor, built and deployed as a running service.
We build a Model Context Protocol server, in Python or the TypeScript SDK, exposing up to 10 tools to AI assistants that support MCP — Claude, Cursor and others. Each tool gets proper authentication (OAuth or API key), pagination where relevant, error handling, and a documented interface designed for how an assistant actually calls it, not just a working prototype. The deliverable is concrete and running, not source code alone: a live server plus a documented tool set you or your team can point an assistant at immediately. Because the MCP spec itself is fixed, this is one of the more contained pieces of AI-adjacent work we take on — scope is quoted per tool count, with additional tools beyond the standard 10 priced individually since each needs its own design, auth path and error handling.
Book it — pay the fixed price, tell us your target environment
We deliver — an experienced specialist runs our standard workflow for this exact task; you can watch progress and ask questions
Hand-off — you get the deliverables, documentation, and a walkthrough if you want one
A bespoke tool built inside your existing Tandemity work hub — a custom intake form, staff dashboard or automation panel — scoped to one named tool per engagement.
View detailsYour app or portal connected to one external API — HubSpot, Salesforce, QuickBooks, Xero, Shopify or similar — with sync, error handling and an admin view of status.
View detailsA single-purpose agent that runs on a schedule — cron or a workflow trigger — executes one defined job, and delivers the result to Slack, email or your database.
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