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Castmagic MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Castmagic 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 Castmagic, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Castmagic
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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 Castmagic MCP Server

Connect your Castmagic account to any AI agent and take full control of your content repurposing workflow through natural conversation. Transform long-form audio and video into ready-to-use assets instantly.

The Vercel AI SDK gives every Castmagic tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Instant Transcription — Submit audio/video URLs and retrieve high-accuracy transcripts with speaker identification natively
  • Magic Content Generation — Generate AI-driven show notes, summaries, social media posts, and titles flawlessly
  • Speaker Analysis — List and manage identified speakers within your recordings to refine transcript metadata securely
  • Asset Management — List all uploaded recordings and transcripts to organize your content library in real-time
  • Quota Oversight — Retrieve account and subscription information to monitor your usage and limits directly
  • Automated Workflows — Submit new content for processing and delete old transcripts directly within your workspace

The Castmagic MCP Server exposes 8 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 Castmagic to Vercel AI SDK via MCP

Follow these steps to integrate the Castmagic 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 8 tools from Castmagic and passes them to the LLM

Why Use Vercel AI SDK with the Castmagic MCP Server

Vercel AI SDK provides unique advantages when paired with Castmagic 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 Castmagic integration everywhere

03

Built-in streaming UI primitives let you display Castmagic 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

Castmagic + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Castmagic MCP Tools for Vercel AI SDK (8)

These 8 tools become available when you connect Castmagic to Vercel AI SDK via MCP:

01

create_new_transcript

Submit a new audio or video URL for transcription

02

delete_transcript

Delete a transcript and its associated data

03

get_castmagic_account

Retrieve core account and quota information

04

get_magic_content

Retrieve AI-generated content (show notes, social posts) for a transcript

05

get_transcript_details

Get details and text for a specific transcript

06

list_castmagic_recordings

List all uploaded recordings

07

list_transcript_speakers

List identified speakers in a transcript

08

list_transcripts

List all audio/video transcripts

Example Prompts for Castmagic in Vercel AI SDK

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

01

"Transcribe this audio file: https://example.com/episode1.mp3"

02

"Get the magic content for transcript ID tr_12345."

03

"Show me my last 10 recordings in Castmagic."

Troubleshooting Castmagic MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Castmagic + Vercel AI SDK FAQ

Common questions about integrating Castmagic 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 Castmagic to Vercel AI SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.