Vidyard MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vidyard through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Vidyard, 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 Vidyard MCP Server
Connect your Vidyard account to any AI agent and manage your business video library through natural conversation.
The Vercel AI SDK gives every Vidyard 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 Library — List all video assets stored in your Vidyard dashboard and retrieve unique video IDs
- Metadata & Details — Get technical metadata for any video including length, encoding status, and descriptions
- Player Management — Create, update, and manage video players (facades) to customize how your content is embedded
- Video Organization — Attach videos to specific players and organize your content for different marketing or sales needs
- Direct Stream Access — Retrieve direct stream URLs and raw MP4 download links for various video qualities (480p, 720p, etc.)
- Asset Management — Rename players or permanently delete video assets and player containers from your dashboard
The Vidyard 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.
How to Connect Vidyard to Vercel AI SDK via MCP
Follow these steps to integrate the Vidyard MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Vidyard and passes them to the LLM
Why Use Vercel AI SDK with the Vidyard MCP Server
Vercel AI SDK provides unique advantages when paired with Vidyard 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 Vidyard integration everywhere
Built-in streaming UI primitives let you display Vidyard 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
Vidyard + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vidyard MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vidyard in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vidyard tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vidyard capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vidyard through natural language queries
Vidyard MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Vidyard to Vercel AI SDK via MCP:
attach_video_to_player
Requires both player ID and video ID. Adds a video asset into a specific player container
create_empty_player
Creates a new, empty video player container
delete_video_asset
This action is irreversible. Permanently deletes a video asset from Vidyard
delete_video_player
Note that the original video assets are not deleted. Permanently deletes a video player
get_player_details
Retrieves details for a specific video player
get_video_details
Retrieves technical metadata for a specific video asset
get_video_source_files
Retrieves direct stream URLs for various video qualities (480p, 720p, etc.)
list_video_players
Lists all configured video players (facades) in the account
list_videos
Lists all video assets stored in the Vidyard dashboard
update_player_name
Updates the display name or title of an existing player
Example Prompts for Vidyard in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vidyard immediately.
"List all my videos in Vidyard."
"Get the direct download links for the 'Product Demo' video."
"Create a new player called 'Website Homepage' and attach my latest video to it."
Troubleshooting Vidyard MCP Server with Vercel AI SDK
Common issues when connecting Vidyard to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVidyard + Vercel AI SDK FAQ
Common questions about integrating Vidyard 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.Connect Vidyard with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vidyard to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.