api.video MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Video Object, Delete Video, Get Video Analytics, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect api.video through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The api.video app connector for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 api.video, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About api.video MCP Server
Connect your api.video account to any AI agent and take full control of your professional video hosting infrastructure and automated media workflows through natural conversation.
The Vercel AI SDK gives every api.video 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.
What you can do
- Video Orchestration — List and manage your entire high-fidelity video library programmatically, or create new video objects to prepare for uploads in real-time
- Asset Intelligence — Retrieve detailed high-fidelity status and direct asset URLs for players, thumbnails, and navigation markers (chapters) directly through your agent
- Deep Analytics Tracking — Monitor performance metrics like total plays and impressions using high-fidelity aggregation tools to coordinate your content strategy
- Multilingual Captions — Access and manage subtitle tracks across multiple languages to maintain a perfectly coordinated global viewer experience
- Infrastructure Monitoring — Access your directory of custom player themes and store-level metadata directly through your agent for instant operational reporting
The api.video MCP Server exposes 9 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 9 api.video tools available for Vercel AI SDK
When Vercel AI SDK connects to api.video through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-streaming, encoding, 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.
Set title and description here. Initialize a new video
video. Permanently delete a video
Retrieve performance metrics
Get metadata for a video
List custom player themes
List captions for a video
List chapters for a video
Supports filtering by title or tags. List your api.video videos
Modify video metadata
Connect api.video to Vercel AI SDK via MCP
Follow these steps to wire api.video into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the api.video MCP Server
Vercel AI SDK provides unique advantages when paired with api.video through the Model Context Protocol.
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 api.video integration everywhere
Built-in streaming UI primitives let you display api.video 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
api.video + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the api.video MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query api.video in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate api.video tools and return structured JSON responses to any frontend
Chatbots with tool use: embed api.video capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with api.video through natural language queries
Example Prompts for api.video in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with api.video immediately.
"List the last 5 videos in my api.video account."
"Show the play count analytics for all videos this month."
"Get the player link and captions for video ID 'vi123'."
Troubleshooting api.video MCP Server with Vercel AI SDK
Common issues when connecting api.video to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpapi.video + Vercel AI SDK FAQ
Common questions about integrating api.video MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.