Wistia MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Project, Get Account Analytics, Get Project Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wistia 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 Wistia app connector for Vercel AI SDK is a standout in the Industry Titans 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 Wistia, 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 Wistia MCP Server
Connect your Wistia video marketing account to any AI agent to automate your media library management and performance monitoring through natural conversation. Wistia provides a premier platform for B2B video hosting, delivery, and detailed engagement tracking.
The Vercel AI SDK gives every Wistia 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
- Media Orchestration — List and retrieve detailed metadata for your videos (medias), including titles, descriptions, and statuses.
- Project Management — Organize your content by creating and managing hierarchical projects (folders) directly from the AI interface.
- Engagement Analytics — Retrieve real-time performance stats for specific videos or get an aggregated overview of your account-wide metrics.
- Metadata Control — Programmatically update video details and manage captions to ensure your media library is always optimized.
- Asset Delivery — Fetch player configurations and thumbnail URLs to streamline content distribution across your digital channels.
The Wistia 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 Wistia tools available for Vercel AI SDK
When Vercel AI SDK connects to Wistia through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-marketing, engagement-analytics, 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.
Create a new project
Get account-wide stats
Get metadata for a project
Get metadata for a video
Get video analytics
List your Wistia projects
List captions for a video
List all videos (medias)
Modify video metadata
Connect Wistia to Vercel AI SDK via MCP
Follow these steps to wire Wistia 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 Wistia MCP Server
Vercel AI SDK provides unique advantages when paired with Wistia 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 Wistia integration everywhere
Built-in streaming UI primitives let you display Wistia 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
Wistia + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wistia MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wistia in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wistia tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wistia capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wistia through natural language queries
Example Prompts for Wistia in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wistia immediately.
"List all active projects in my Wistia account."
"Show the engagement stats for video ID 'vid123'."
Troubleshooting Wistia MCP Server with Vercel AI SDK
Common issues when connecting Wistia to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWistia + Vercel AI SDK FAQ
Common questions about integrating Wistia 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.