Mux MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mux 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 Mux, 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 Mux MCP Server
Connect your Mux Video account to your AI agent and take full control of your video infrastructure and streaming workflows through natural conversation.
The Vercel AI SDK gives every Mux tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 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
- Asset Management — List all video assets and get real-time status updates, durations, and playback IDs.
- Asset Creation — Create new video assets instantly by providing a public URL to your source file.
- Live Streaming — Access and monitor your live stream configurations and their current status.
- Direct Uploads — Create secure upload sessions for uploading video files directly.
- Video Analytics — Get recent video view metrics to track your content's reach.
- Deep Inspection — Fetch complete metadata for specific assets or live streams using their unique IDs.
The Mux MCP Server exposes 11 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 Mux to Vercel AI SDK via MCP
Follow these steps to integrate the Mux 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 11 tools from Mux and passes them to the LLM
Why Use Vercel AI SDK with the Mux MCP Server
Vercel AI SDK provides unique advantages when paired with Mux 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 Mux integration everywhere
Built-in streaming UI primitives let you display Mux 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
Mux + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mux MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mux in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mux tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mux capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mux through natural language queries
Mux MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect Mux to Vercel AI SDK via MCP:
create_asset
Create a new video asset
create_direct_upload
Create a direct upload session
create_live_stream
Create a new live stream
delete_asset
Delete a video asset
delete_live_stream
Delete a live stream
get_asset
Get specific asset details
get_live_stream
Get specific live stream details
get_recent_views
Get recent video views analytics
list_assets
List Mux video assets
list_direct_uploads
List direct video uploads
list_live_streams
List Mux live streams
Example Prompts for Mux in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mux immediately.
"List all my video assets and show their status."
"Create a new video asset from https://example.com/video.mp4."
"Check recent views for my videos."
Troubleshooting Mux MCP Server with Vercel AI SDK
Common issues when connecting Mux to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMux + Vercel AI SDK FAQ
Common questions about integrating Mux 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 Mux 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 Mux to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.