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3Scribe MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes

Built by Vinkius GDPR 4 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect 3Scribe through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

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 3Scribe, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
3Scribe
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* 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 3Scribe MCP Server

Unlock the power of spoken word with 3Scribe, your automated partner for high-precision audio and video transcription. By connecting 3Scribe to your AI agent, you eliminate the friction of manual data entry from media files. Your agent can now orchestrate the entire transcription lifecycle—from submitting public URLs to auditing job statuses and retrieving final text—all through simple natural language commands. Whether it’s meeting minutes or video captions, your agent acts as a direct bridge to 3Scribe's powerful recognition engine.

The Vercel AI SDK gives every 3Scribe tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 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

  • Automated Transcription — Create new transcription jobs by providing a public URL to your audio or video files
  • Job Monitoring — Track the status of your transcriptions in real-time (Requested, Processing, Completed, Error)
  • Text Retrieval — Access raw text transcripts or detailed word-level data with timestamps and speaker IDs
  • Project Management — List all transcription jobs, filter by status, and delete old or unnecessary projects
  • Language Detection — Specify transcription languages or let the AI auto-detect the spoken language

The 3Scribe MCP Server exposes 4 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 3Scribe to Vercel AI SDK via MCP

Follow these steps to integrate the 3Scribe MCP Server with Vercel AI SDK.

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 4 tools from 3Scribe and passes them to the LLM

Why Use Vercel AI SDK with the 3Scribe MCP Server

Vercel AI SDK provides unique advantages when paired with 3Scribe 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 3Scribe integration everywhere

03

Built-in streaming UI primitives let you display 3Scribe 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

3Scribe + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the 3Scribe MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query 3Scribe in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate 3Scribe tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed 3Scribe capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with 3Scribe through natural language queries

3Scribe MCP Tools for Vercel AI SDK (4)

These 4 tools become available when you connect 3Scribe to Vercel AI SDK via MCP:

01

create_job

You must provide a valid public URL. Returns a Job ID useful for tracking progress. Initiate a new audio or video transcription job in 3Scribe via a public media URL

02

delete_job

This is an irreversible destructive action. Requires the Job ID. Permanently delete a transcription task and its associated data from the 3Scribe account

03

get_job

You must provide the Job ID. Check the status and retrieve the generated text of a specific 3Scribe transcription job

04

list_jobs

Retrieve a paginated list of all transcription tasks from the 3Scribe account

Example Prompts for 3Scribe in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with 3Scribe immediately.

01

"Transcribe the audio from this URL: https://example.com/podcast.mp3"

02

"What is the status of my transcription job 54321?"

03

"Delete my old transcription job with ID 99999."

Troubleshooting 3Scribe MCP Server with Vercel AI SDK

Common issues when connecting 3Scribe to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

3Scribe + Vercel AI SDK FAQ

Common questions about integrating 3Scribe 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.

Connect 3Scribe to Vercel AI SDK

Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.