How to Use the Shotstack MCP in Vercel AI SDK
Generate and stream personalized videos programmatically, right into your UI with Vercel AI SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Shotstack MCP to Vercel AI SDK
Create your Vinkius account to connect Shotstack to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Start a Video Render Job
You can initiate complex video generation workflows using `render_video`. This tool accepts template parameters and immediately returns a unique render ID. Your agent monitors this job status by calling `get_render_status` until the output is ready. It’s a fast loop that gives you real-time feedback on where the rendering pipeline stands.
Manage Video Assets and Outputs
When a render finishes, you need to find the resulting files. Use `list_assets_from_render` with a specific job ID to get every associated media asset. You can also check your overall inventory using `list_hosted_assets`. This gives your client total control over what inputs are used and exactly what outputs were generated by the Shotstack MCP Server.
Build a Content Pipeline
Before rendering, you need content. `ingest_media_source` lets your agent upload or fetch the raw assets necessary for the video. You can also inspect available starting points using `list_templates`. This two-step process ensures your client has both the source media and the correct template structure ready to go.
Set up Shotstack MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all Shotstack tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent Shotstack transactions",
});
console.log(text);
await mcpClient.close(); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Shotstack. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Shotstack MCP in Vercel AI SDK
Use it with your favorite AI tools
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