Ebby MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Ebby 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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Vinkius supports streamable HTTP and SSE.
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 Ebby, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Ebby MCP Server
Integrate Ebby, the powerful automatic transcription and subtitling platform, directly into your AI workflow. Manage your audio and video transcriptions, track real-time processing statuses and durations, retrieve transcribed text in various formats (TXT, SRT, VTT), and oversee speaker identification using natural language.
The Vercel AI SDK gives every Ebby tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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 Oversight — List and retrieve detailed information and status for all your audio and video transcription projects.
- Content Intelligence — Access the actual transcribed text content and identified speaker labels directly via chat.
- Processing Monitoring — Track real-time processing progress, file durations, and language settings for your media library.
- Account Auditing — Retrieve high-level summaries of transcription activity, remaining minutes, and organizational metadata instantly.
The Ebby MCP Server exposes 10 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 Ebby to Vercel AI SDK via MCP
Follow these steps to integrate the Ebby MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Ebby and passes them to the LLM
Why Use Vercel AI SDK with the Ebby MCP Server
Vercel AI SDK provides unique advantages when paired with Ebby through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Ebby integration everywhere
Built-in streaming UI primitives let you display Ebby tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Ebby + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Ebby MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Ebby in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Ebby tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Ebby capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Ebby through natural language queries
Ebby MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Ebby to Vercel AI SDK via MCP:
get_ebby_account_metadata
Retrieve metadata and usage limits for your Ebby account
get_transcription_details
Get detailed settings and status for a specific transcription
get_transcription_text
Retrieve the transcribed text content for a specific file
list_audio_transcriptions
List all transcriptions created in your Ebby account
list_in_progress_transcriptions
Identify transcriptions that are currently in the processing queue
list_latest_transcriptions
Identify the most recently created or updated transcriptions
list_successfully_processed_audio
Identify transcriptions that have finished processing and are ready for export
list_transcription_speakers
List all speakers identified in a specific transcription
quick_transcription_volume_audit
Retrieve a high-level summary of transcription activity and processing rates
search_transcriptions_by_name
Search for transcriptions using a filename or title keyword
Example Prompts for Ebby in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Ebby immediately.
"List all completed transcriptions."
"Show me the transcribed text for 'Interview_John_Doe.mp3' in SRT format."
"Check how many minutes are remaining in my Ebby account."
Troubleshooting Ebby MCP Server with Vercel AI SDK
Common issues when connecting Ebby to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpEbby + Vercel AI SDK FAQ
Common questions about integrating Ebby MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Ebby with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Ebby to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.