Teyuto MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Teyuto Status, Get Collection, Get User, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Teyuto 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 Teyuto app connector for Vercel AI SDK is a standout in the Productivity 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
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 Teyuto, 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 Teyuto MCP Server
Connect your Teyuto account to any AI agent and manage your video platform.
The Vercel AI SDK gives every Teyuto 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 Management — List and inspect videos with full metadata
- Video Analytics — View watch time, view counts, and engagement metrics
- Collection Management — List and inspect video collections
- User Management — List users and view detailed profiles
- Channel Access — Browse available channels
- Subscription Plans — View plan pricing and features
The Teyuto 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 Teyuto tools available for Vercel AI SDK
When Vercel AI SDK connects to Teyuto through Vinkius, your AI agent gets direct access to every tool listed below — spanning teyuto, vod-api, video-streaming-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.
Verify API connectivity
Get collection details
Get user details
Get video details
Get video analytics
List channels
List collections
List subscriptions
List all users
List all videos
Connect Teyuto to Vercel AI SDK via MCP
Follow these steps to wire Teyuto 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 Teyuto MCP Server
Vercel AI SDK provides unique advantages when paired with Teyuto 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 Teyuto integration everywhere
Built-in streaming UI primitives let you display Teyuto 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
Teyuto + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Teyuto MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Teyuto in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Teyuto tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Teyuto capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Teyuto through natural language queries
Example Prompts for Teyuto in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Teyuto immediately.
"List all my videos."
"Show analytics for video vid_001."
"List all video collections."
Troubleshooting Teyuto MCP Server with Vercel AI SDK
Common issues when connecting Teyuto to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTeyuto + Vercel AI SDK FAQ
Common questions about integrating Teyuto 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.