How to Use the Spiritme MCP in Vercel AI SDK

Q: Can I list available avatars with Spiritme and the Vercel AI SDK?

Yeah, you can. Use listavatars to fetch all avatar details right from your client code. This helps you build a selection widget that shows exactly what's available for personalization.

Q: How do I verify connectivity with Spiritme and the Vercel AI SDK?

You call checkspiritmestatus. That simple function confirms your entire connection is solid before you start running expensive video jobs. It's good practice to check that first.

Q: If I run a Spiritme job, how do I know when it's done with the Vercel AI SDK?

You use getjobstatus. This tool provides granular updates on whether your video is still rendering or if it finished successfully. It’s essential for building good UX.

Build real-time video experiences into your UI using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Spiritme MCP to Vercel AI SDK

Create your Vinkius account to connect Spiritme to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Spiritme with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Stream Personalized Video Generation

The `generate_video` tool runs the whole show. Your agent sends parameters—template IDs, voice selections, and text scripts—and gets a video ready for playback. It handles complex personalization in multiple languages automatically. You don't wait on a loading spinner; your AI client streams the data as it appears.

Manage Assets and Templates

Need to check what content is available? Use `list_templates` or `get_template` to pull down structure details. You can also see every avatar your company uses via `list_avatars`, ensuring consistency across all generated videos. This whole system keeps track of everything, so you know exactly which assets are ready to go before the user even clicks generate.

Monitor Video Jobs in Real Time

When a video is big—like running through multiple languages—it takes time. Don't guess if it worked. The `get_job_status` tool tells you exactly where the process stands, giving instant feedback to your user. Plus, if something goes wrong or needs adjusting, tools like `delete_video` let you clean up messes instantly.

Setup guide

Set up Spiritme 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 Spiritme 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 Spiritme transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Spiritme. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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Common questions about Spiritme MCP in Vercel AI SDK

You pass the MCP client to your frontend logic. When a user needs video content, your agent calls the tools like `generate_video`. Because of how the Vercel AI SDK works, the results stream directly into the UI as they arrive.

This server handles metadata related to video generation: template IDs, voice details (`get_voice`), avatar lists, and job status. It doesn't touch any user payment or account credentials.

Yeah, you can. Use `list_avatars` to fetch all avatar details right from your client code. This helps you build a selection widget that shows exactly what's available for personalization.

You call `check_spiritme_status`. That simple function confirms your entire connection is solid before you start running expensive video jobs. It's good practice to check that first.

You use `get_job_status`. This tool provides granular updates on whether your video is still rendering or if it finished successfully. It’s essential for building good UX.

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