Twelve Labs (Video Understanding) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 18 tools to Analyze Async, Analyze Sync, Confirm Multipart Upload, and more
GDPR Free for SubscribersThe Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Twelve Labs (Video Understanding) 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 MCP Server for Vercel AI SDK
The Twelve Labs (Video Understanding) MCP Server for Vercel AI SDK is a standout in the Ai Frontier category — giving your AI agent 18 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { 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 Twelve Labs (Video Understanding), 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 Twelve Labs (Video Understanding) MCP Server
Connect Twelve Labs to your AI agent to unlock the full potential of video understanding. This server allows your agent to index video files, perform complex semantic searches, and generate deep analytical insights from visual and audio data.
The Vercel AI SDK gives every Twelve Labs (Video Understanding) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 18 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 Indexing — Create and manage indexes to organize your video library for rapid retrieval and analysis.
- Semantic Search — Query your video content using natural language to find specific moments, objects, or actions without manual tagging.
- Asset Management — Upload videos via URLs or multipart sessions and monitor their indexing status in real-time.
- Deep Analysis — Run synchronous or asynchronous analysis tasks to extract structured data from your video assets.
- Embeddings & Entities — Generate multimodal embeddings and manage entity collections for advanced machine learning workflows.
The Twelve Labs (Video Understanding) MCP Server exposes 18 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 18 Twelve Labs (Video Understanding) tools available for Vercel AI SDK
When Vercel AI SDK connects to Twelve Labs (Video Understanding) through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-search, multimodal-ai, semantic-search, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Analyze async on Twelve Labs (Video Understanding)
Analyze and segment videos asynchronously
Analyze sync on Twelve Labs (Video Understanding)
Analyze and segment videos synchronously
Confirm multipart upload on Twelve Labs (Video Understanding)
Confirm a multipart upload
Create asset on Twelve Labs (Video Understanding)
Upload content to create an asset
Create entity on Twelve Labs (Video Understanding)
g., a person) within a collection. Create an entity
Create entity collection on Twelve Labs (Video Understanding)
Create an entity collection
Create index on Twelve Labs (Video Understanding)
Create a new index
Create multipart upload on Twelve Labs (Video Understanding)
Create a multipart upload session
Delete index on Twelve Labs (Video Understanding)
Delete an index
Embed async on Twelve Labs (Video Understanding)
Create embeddings asynchronously
Embed sync on Twelve Labs (Video Understanding)
Create embeddings synchronously
Get index on Twelve Labs (Video Understanding)
Retrieve an index by ID
Get indexed asset on Twelve Labs (Video Understanding)
Retrieve an indexed asset
Index asset on Twelve Labs (Video Understanding)
Index an uploaded asset
List indexes on Twelve Labs (Video Understanding)
List all indexes
Report multipart progress on Twelve Labs (Video Understanding)
Report progress for a multipart upload
Search on Twelve Labs (Video Understanding)
Search for moments in videos
Update index on Twelve Labs (Video Understanding)
Update an index name
Connect Twelve Labs (Video Understanding) to Vercel AI SDK via MCP
Follow these steps to wire Twelve Labs (Video Understanding) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 Twelve Labs (Video Understanding) MCP Server
Vercel AI SDK provides unique advantages when paired with Twelve Labs (Video Understanding) 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 Twelve Labs (Video Understanding) integration everywhere
Built-in streaming UI primitives let you display Twelve Labs (Video Understanding) 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
Twelve Labs (Video Understanding) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Twelve Labs (Video Understanding) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Twelve Labs (Video Understanding) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Twelve Labs (Video Understanding) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Twelve Labs (Video Understanding) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Twelve Labs (Video Understanding) through natural language queries
Example Prompts for Twelve Labs (Video Understanding) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Twelve Labs (Video Understanding) immediately.
"List all my Twelve Labs video indexes."
"Create a new index named 'Webinar-Archive' using the Marengo 3.0 model with visual and audio options."
"Search for 'a person presenting a slideshow' in index idx_abc123."
Troubleshooting Twelve Labs (Video Understanding) MCP Server with Vercel AI SDK
Common issues when connecting Twelve Labs (Video Understanding) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTwelve Labs (Video Understanding) + Vercel AI SDK FAQ
Common questions about integrating Twelve Labs (Video Understanding) 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.Explore More MCP Servers
View all →
Prisma Cloud
7 toolsConnect Prisma Cloud to any AI agent via MCP.
Feathery
11 toolsAutomate forms and user workflows via Feathery — manage users, retrieve form data, and monitor connector logs directly through your AI agent.
Texter
10 toolsSend automated text messages and run SMS drip campaigns that engage leads and customers with timely follow-ups.
FreeScout
16 toolsManage your FreeScout helpdesk — list mailboxes, handle conversations, reply to customers, and manage users directly via AI.