Bring Video Automation
to Vercel AI SDK
Learn how to connect Kapwing to Vercel AI SDK and start using 3 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Kapwing MCP Server?
Connect your Kapwing account to any AI agent to automate your video production and media rendering workflows through natural conversation.
What you can do
- Automated Rendering — Initiate complex video or image renders using project JSON definitions including layers, text, and dimensions
- Status Tracking — Monitor the real-time progress of your renders and retrieve download URLs once processing is complete
- Asset Management — List and browse all renders associated with your account to keep track of your media history
- Webhook Integration — Optionally receive notifications at a specific URL when your media is ready
How it works
- Subscribe to this server
- Enter your Kapwing API Key
- Start generating and managing media from Claude, Cursor, or any MCP-compatible client
No more manual editing for repetitive tasks. Your AI acts as a video engineer, handling the rendering pipeline for you.
Who is this for?
- Content Creators — automate the generation of repetitive video formats or social media assets
- Developers — integrate video rendering capabilities into your apps without leaving your coding environment
- Marketing Teams — scale content production by generating localized or personalized videos from templates
Built-in capabilities (3)
The project definition includes width, height, and layers (video, text, etc.). Initiates the rendering process for a project
) and download URL for a specific render ID. Retrieves the current status of a render
Returns a list of all renders associated with your account
Why Vercel AI SDK?
The Vercel AI SDK gives every Kapwing tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Kapwing integration everywhere
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Built-in streaming UI primitives let you display Kapwing tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Kapwing in Vercel AI SDK
Kapwing and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Kapwing 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 | 4,000+ 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 Kapwing in Vercel AI SDK
The Kapwing 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 3 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
Kapwing for Vercel AI SDK
Every tool call from Vercel AI SDK to the Kapwing MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I check if my video render is finished?
You can use the get_render_status tool by providing your unique Render ID. The agent will return the current status (e.g., 'completed') and the download URL if it's ready.
Can I start a new render using a JSON project definition?
Yes! Use the create_render action. You just need to provide the project object containing dimensions and layers. You can also specify a webhookUrl for automated notifications.
Is it possible to see a history of all my renders?
Absolutely. The list_renders tool fetches all renders associated with your authenticated account, allowing the AI to summarize or find specific past projects.
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
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