Bring Digital Products
to Vercel AI SDK
Learn how to connect Kiwify to Vercel AI SDK and start using 9 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Kiwify MCP Server?
Connect your Kiwify account to any AI agent and manage digital product sales through natural conversation.
What you can do
- Product Management — List products, inspect details, and track sales performance
- Order Tracking — Browse orders with status, amounts, and customer data
- Subscription Monitoring — Track active subscriptions, renewals, and churn
- Customer Database — List customers with purchase history and engagement
- Revenue Analytics — Monitor sales metrics, refund rates, and trends
How it works
1. Subscribe to this server
2. Enter your Kiwify Access Token and Account ID
3. Start managing sales from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Digital Creators — track product sales and customer data
- Info-product Entrepreneurs — monitor subscriptions and revenue
- Marketing Teams — analyze sales performance and conversion metrics
Built-in capabilities (9)
Create a new webhook
Remove an existing webhook
Get account information
Get details for a specific product
Get details for a specific sale
List recurring subscriptions
List your webhooks
List your Kiwify products
Supports filtering. List recent sales and transactions
Why Vercel AI SDK?
The Vercel AI SDK gives every Kiwify tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kiwify integration everywhere
- —
Built-in streaming UI primitives let you display Kiwify tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kiwify in Vercel AI SDK
Kiwify and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Kiwify to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Kiwify in Vercel AI SDK
The Kiwify MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 9 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Kiwify for Vercel AI SDK
Every tool call from Vercel AI SDK to the Kiwify MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track orders and revenue performance?
Yes. Browse all orders with status (approved, refunded, pending), amounts, and customer data. Track revenue metrics and trends.
Can I monitor subscriptions and churn?
Yes. Track active subscriptions, upcoming renewals, cancellations, and churn rates across all products.
Does Kiwify require two credentials?
Yes. Kiwify requires an Access Token and Account ID. Bearer authentication against public-api.kiwify.com/v1.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp