CaptionHub 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 CaptionHub 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 CaptionHub, 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 CaptionHub MCP Server
Connect your CaptionHub account to any AI agent and orchestrate your video localization, AI-powered transcription, and subtitle approval workflows through natural conversation.
The Vercel AI SDK gives every CaptionHub 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
- Project Oversight — List all localization projects and retrieve detailed metadata, including source and target languages.
- Automated Transcription — Trigger AI-powered auto-transcription for your video assets directly from your workspace.
- Caption Lifecycle — Handover, approve, or archive caption sets for specific languages using natural language.
- Export Coordination — Retrieve export links for finished captions in various formats straight from your workspace.
- Workflow Automation — Monitor active webhooks and project statuses to ensure your localization pipeline is efficient.
- Data Deep Dives — Get detailed data for specific project, caption, or user IDs using natural language.
The CaptionHub 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 CaptionHub to Vercel AI SDK via MCP
Follow these steps to integrate the CaptionHub 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 CaptionHub and passes them to the LLM
Why Use Vercel AI SDK with the CaptionHub MCP Server
Vercel AI SDK provides unique advantages when paired with CaptionHub 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 CaptionHub integration everywhere
Built-in streaming UI primitives let you display CaptionHub 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
CaptionHub + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CaptionHub MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CaptionHub in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CaptionHub tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CaptionHub capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CaptionHub through natural language queries
CaptionHub MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect CaptionHub to Vercel AI SDK via MCP:
approve_captions
Approve a caption set for a specific language
archive_project
Archive a project permanently
create_project
Create a new captioning project
export_captions
Get the export URL for a caption set
get_account_info
Retrieve core account information
get_project_details
Get details of a specific project
list_projects
List all video captioning projects
list_webhooks
List all active webhooks
transcribe_video
Trigger AI auto-transcription for a project
update_project
Update project metadata
Example Prompts for CaptionHub in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CaptionHub immediately.
"List all my current video projects in CaptionHub."
"Start auto-transcription for the 'Product Keynote' project."
"Get the French subtitle export link for project proj_123."
Troubleshooting CaptionHub MCP Server with Vercel AI SDK
Common issues when connecting CaptionHub to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCaptionHub + Vercel AI SDK FAQ
Common questions about integrating CaptionHub 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 CaptionHub 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 CaptionHub to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.