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How to Use the Speechnotes MCP in Vercel AI SDK

Speechnotes: Stream real-time transcripts directly into your React, Next.js, Svelte, and Vue frontends.

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Works with every AI agent you already use

…and any MCP-compatible client

Speechnotes MCP on Cursor AI Code Editor MCP Client Speechnotes MCP on Claude Desktop App MCP Integration Speechnotes MCP on OpenAI Agents SDK MCP Compatible Speechnotes MCP on Visual Studio Code MCP Extension Client Speechnotes MCP on GitHub Copilot AI Agent MCP Integration Speechnotes MCP on Google Gemini AI MCP Integration Speechnotes MCP on Lovable AI Development MCP Client Speechnotes MCP on Mistral AI Agents MCP Compatible Speechnotes MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Speechnotes MCP to Vercel AI SDK

Create your Vinkius account to connect Speechnotes 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

Key Capabilities

Transcribe Audio in Real Time with the AI SDK

The `transcribe_audio_url` tool takes a remote file URL and starts processing it. Your agent receives streaming results directly into the UI, meaning users see the transcript appearing live instead of waiting for a final loading spinner. This real-time output capability is critical for user experience in your application. You can manage the process flow by checking progress using `get_transcription_status` and initiating job cancellation with `remove_transcription_job`.

Check Speechnotes Usage and Credits

You need to know when you're running low on processing power. Call `get_remaining_credits` before starting any major transcription job. This tool quickly checks your account balance, letting you display accurate usage data right in the user interface. Keep track of costs and performance by calling `get_usage_statistics`. The AI SDK allows you to build a visible dashboard that shows exactly how much audio processing time has been consumed.

Manage Speechnotes Webhook Signatures

Speechnotes sends webhook notifications when jobs finish. You must verify these payloads using `generate_webhook_signature` to ensure the data hasn't been tampered with. This security step is mandatory before your agent processes any results. Furthermore, you can list all configured delivery endpoints via `list_configured_webhooks`. The MCP Server helps your application maintain high trust by proving that incoming job completion notifications are legitimate.

Setup guide

Set up Speechnotes 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Speechnotes 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 Speechnotes. 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 Speechnotes MCP in Vercel AI SDK

Use `get_transcription_status` to poll for job progress. This tool confirms if the audio is still processing, finished successfully, or hit an error state.
You get a list of supported codes by calling `list_supported_languages`. This helps your front end validate which language inputs are acceptable before starting transcription.
Yes. The `list_transcription_history` tool lets you fetch a record of all past jobs. This makes it easy for your application to display a comprehensive log of previous transcriptions.
Always validate payloads using `generate_webhook_signature`. The MCP Server provides this utility so your agent client can confirm that incoming webhook data is authentic.
This server touches raw audio URLs and resulting text transcripts. Be sure to handle these specific types of content according to your client's data retention policy.

Start using the Speechnotes MCP today

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