How to Use the Plaud MCP in Vercel AI SDK
Bring your Plaud recordings into Vercel AI SDK apps. Stream transcripts and summaries directly to your users' screens.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Plaud MCP to Vercel AI SDK
Create your Vinkius account to connect Plaud to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Gemini
Key Capabilities
Live Plaud data in your UI
Feed meeting transcripts straight into your frontend components. Use `get_transcript` to push raw text into your state management layer without waiting for full batch completion. Your users see the content populate as the stream hits your Edge Function. It turns a static list of files into a living dashboard.
Automated Plaud metadata management
Sync your database with your recording library by calling `list_files` and `get_file_detail`. Keep your UI in lockstep with the actual state of your account. Updating records is just as quick. Trigger `update_file` whenever a user changes a title or tag from your interface.
Direct audio access for Plaud
Let your users play back their recordings through your custom audio player. Use `get_download_url` to grab the MP3 source and pass it directly to the browser's audio API. It removes the need for users to bounce between your site and their account settings. You keep them inside your app the whole time.
Set up Plaud MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith 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 Plaud tools. Pass them directly togenerateText()orstreamText()— 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.
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 Plaud transactions",
});
console.log(text);
await mcpClient.close();Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Plaud. 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.
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
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Plaud MCP in Vercel AI SDK
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