How to Use the Wistia MCP in Vercel AI SDK

Q: How do I check Wistia project status with Vercel AI SDK?

You use the getprojectdetails tool. This function pulls all the current information for a specific project, including which media assets are contained within it.

Q: What is the best way to handle Wistia video uploads with Vercel AI SDK?

Use the uploadvideoviaurl tool. It triggers Wistia to download and host a video directly from a public URL, making file handling simple for your users.

Q: Can I list all Wistia projects with Vercel AI SDK?

Yes, you call the listwistiaprojects tool. It returns a complete index of every folder or project container currently set up in your Wistia account.

Q: How do I update video descriptions for Wistia using Vercel AI SDK?

You must use the updatemediametadata tool. It requires both the hashed ID and a JSON object containing the new attributes, like the description or name.

Showcase Wistia media insights live in your UI using the Vercel AI SDK.

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Connect Wistia MCP to Vercel AI SDK

Create your Vinkius account to connect Wistia to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wistia with Vercel AI SDK

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Displaying Wistia data with the Vercel AI SDK

When you call `mcpClient.tools()` to get tools, you can expose Wistia's full capabilities right in your frontend. This lets users run operations like `get_engagement_statistics` and see results stream instantly—no loading spinner needed. Because the data streams directly into the UI, your user sees the detailed engagement stats appear piece by piece. It’s perfect for building real-time video analytics dashboards.

Managing Wistia media assets via MCP Server

The `list_wistia_medias` tool lets your agent client gather a full manifest of everything in the account. You can use this list to check for missing or outdated content before running any major operation. Need metadata? Just call `get_media_details` with a specific asset ID. This pulls all the required data points, allowing you to show users exactly what they need to know about that piece of media.

Project and video lifecycle management

Need to start organizing content? The `create_new_project` tool lets your user client establish a clear container for new videos. This makes sure every piece of content has its dedicated spot immediately. If things go wrong, you can use `get_project_details` to pull the current structure and media list before deciding on a cleanup operation like using `delete_wistia_project`.

Setup guide

Set up Wistia MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Wistia tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Wistia transactions",
});

console.log(text);
await mcpClient.close();

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wistia. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Wistia MCP in Vercel AI SDK

You use the `get_project_details` tool. This function pulls all the current information for a specific project, including which media assets are contained within it.

Use the `upload_video_via_url` tool. It triggers Wistia to download and host a video directly from a public URL, making file handling simple for your users.

The server touches all core media assets, including their associated `metadata` and project structures. This covers names, descriptions, and the hashed IDs for every piece of content.

Yes, you call the `list_wistia_projects` tool. It returns a complete index of every folder or project container currently set up in your Wistia account.

You must use the `update_media_metadata` tool. It requires both the hashed ID and a JSON object containing the new attributes, like the description or name.

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