Wistia 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 Wistia through the 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 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 account to any AI agent and take control of your video marketing infrastructure through natural conversation.
The Vercel AI SDK gives every Wistia tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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 Management — List all video and audio assets in your account, including their durations, play counts, and direct asset URLs
- Project Organization — Create, browse, and manage folders (projects) to keep your media library organized across teams
- Engagement Insights — Retrieve detailed play rates, average percent watched, and viewer statistics directly from your agent
- Metadata Control — Update video titles and descriptions or permanently delete obsolete assets and all their derivatives
- Remote Ingestion — Trigger Wistia to download and host video content from any public URL into a specific project
- Deep Discovery — Quickly find unique hashed IDs for medias and projects required for automated marketing workflows
- Asset Auditing — Browse organizational containers and retrieve technical metadata for high-quality content delivery
The Wistia 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 Wistia to Vercel AI SDK via MCP
Follow these steps to integrate the Wistia 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 Wistia and passes them to the LLM
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
Wistia MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Wistia to Vercel AI SDK via MCP:
create_new_project
Provide a descriptive name. Creates a new project to organize media
delete_media_asset
This action is irreversible. Permanently deletes a Wistia media asset and all its derivatives
delete_wistia_project
Note: All videos in the project will be lost. This is irreversible. Permanently deletes a Wistia project and all media contained within it
get_engagement_statistics
Retrieves detailed engagement and viewer statistics for a video
get_media_details
Retrieves comprehensive metadata for a specific Wistia media asset
get_project_details
Retrieves details for a specific Wistia project, including all contained media
list_wistia_medias
Lists all media assets (videos, audios) in the Wistia account
list_wistia_projects
Lists all projects (folders) in the Wistia account
update_media_metadata
Provide the hashed ID and a JSON object of attributes. Updates the metadata (name, description) of a specific Wistia media
upload_video_via_url
Provide the source URL, target project ID, and a name. Triggers Wistia to download and host a video from a public URL
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 my videos in Wistia."
"What are the engagement stats for the video with ID 'abc123def'?"
"Upload the video from 'https://example.com/promo.mp4' to my 'Campaigns' project."
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.Connect Wistia 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 Wistia to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.