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Speechnotes MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Generate Webhook Signature, Get Remaining Credits, Get Transcription Export, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Speechnotes through 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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Ask AI about this App Connector for Vercel AI SDK

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The Speechnotes app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 Speechnotes, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Speechnotes
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Speechnotes MCP Server

Connect your Speechnotes account to any AI agent to automate your professional audio transcription and speech-to-text orchestration. Speechnotes provides a high-accuracy AI engine for converting audio files into text, and this integration allows you to initiate transcription jobs from URLs, monitor progress, and export results through natural conversation.

The Vercel AI SDK gives every Speechnotes tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through 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

  • Transcription Orchestration — Initiate new transcription jobs from audio URLs and retrieve real-time status updates programmatically.
  • Job & History Lifecycle Management — List all past transcription jobs and retrieve detailed metadata, including timestamps and speaker counts directly from the AI interface.
  • Export & Format Control — Retrieve transcribed text in multiple formats (TXT, DOCX, SRT) and manage file exports via simple AI commands.
  • Language & Model Intelligence — Access available transcription languages and AI models to ensure your results are optimized for your specific content.
  • Operational Monitoring — Check your account credits, monitor usage statistics, and manage webhooks to ensure your transcription pipeline is always synchronized.

The Speechnotes MCP Server exposes 12 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.

All 12 Speechnotes tools available for Vercel AI SDK

When Vercel AI SDK connects to Speechnotes through Vinkius, your AI agent gets direct access to every tool listed below — spanning transcription, speech-to-text, audio-processing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

generate_webhook_signature

Sign payload

get_remaining_credits

Check account balance

get_transcription_export

Export result format

get_transcription_status

Check job progress

get_usage_statistics

Check usage logs

list_configured_webhooks

Get delivery endpoints

list_supported_languages

Get language codes

list_transcription_history

List past jobs

list_transcription_models

Get engine models

remove_transcription_job

Delete job record

test_speechnotes_auth

Check connection

transcribe_audio_url

Transcribe remote file

Connect Speechnotes to Vercel AI SDK via MCP

Follow these steps to wire Speechnotes into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from Speechnotes and passes them to the LLM

Why Use Vercel AI SDK with the Speechnotes MCP Server

Vercel AI SDK provides unique advantages when paired with Speechnotes through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Speechnotes integration everywhere

03

Built-in streaming UI primitives let you display Speechnotes tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Speechnotes + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Speechnotes MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Speechnotes in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Speechnotes tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Speechnotes capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Speechnotes through natural language queries

Example Prompts for Speechnotes in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Speechnotes immediately.

01

"Transcribe the audio file at this URL: 'https://example.com/interview.mp3'."

02

"Transcribe the latest team meeting recording and generate a summary with action items."

03

"Show me all transcriptions from the past week with their word counts and language detection."

Troubleshooting Speechnotes MCP Server with Vercel AI SDK

Common issues when connecting Speechnotes to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Speechnotes + Vercel AI SDK FAQ

Common questions about integrating Speechnotes MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.