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Shotstack MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Video Template, Get Hosted Asset Details, Get Render Status, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Shotstack through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Shotstack app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Shotstack, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Shotstack MCP Server

Connect your Shotstack account to any AI agent and take full control of your high-volume video editing and media orchestration through natural conversation. Shotstack provides a powerful API-first platform for rendering videos, managing cloud templates, and ingesting assets directly from your chat interface.

The Vercel AI SDK gives every Shotstack tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Video Rendering Orchestration — Trigger professional video renders from JSON-based templates or custom edits programmatically.
  • Template Lifecycle Management — Create and monitor cloud-based video templates to ensure consistent automated outputs directly from the AI interface.
  • Asset & Ingest Control — Ingest source media and manage your hosted assets to maintain a clear overview of your production resources.
  • Render Intelligence — Retrieve real-time render statuses and detailed metadata to track the progress of your video pipeline via natural language.
  • Operational Monitoring — List available renders, templates, and source assets using simple AI commands to ensure your production is optimized.

The Shotstack MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Shotstack tools available for Vercel AI SDK

When Vercel AI SDK connects to Shotstack through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-rendering, cloud-api, media-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_video_template

Save an edit as a reusable template

get_hosted_asset_details

Get details for a hosted file

get_render_status

Check the status of a render job

ingest_media_source

Upload or fetch a source asset

list_assets_from_render

) associated with a specific job ID. Find all files created by a specific render

list_hosted_assets

List all hosted media files

list_ingested_sources

List all ingested media sources

list_recent_renders

List recent render history

list_templates

List available video templates

render_video

Returns a render ID. Start a new video render job

Connect Shotstack to Vercel AI SDK via MCP

Follow these steps to wire Shotstack into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from Shotstack and passes them to the LLM

Why Use Vercel AI SDK with the Shotstack MCP Server

Vercel AI SDK provides unique advantages when paired with Shotstack through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Shotstack integration everywhere

03

Built-in streaming UI primitives let you display Shotstack tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Shotstack + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Shotstack MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Shotstack in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Shotstack tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Shotstack capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Shotstack through natural language queries

Example Prompts for Shotstack in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Shotstack immediately.

01

"Check the status of my latest video render in Shotstack."

02

"List all video templates in my Shotstack account."

03

"List all hosted assets in my Shotstack Serve account."

Troubleshooting Shotstack MCP Server with Vercel AI SDK

Common issues when connecting Shotstack to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Shotstack + Vercel AI SDK FAQ

Common questions about integrating Shotstack MCP Server with Vercel AI SDK.

01

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.
02

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.
03

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.