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CaptionHub MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CaptionHub through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "captionhub": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "CaptionHub Agent",
    instructions:
      "You help users interact with CaptionHub " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with CaptionHub?"
  );
  console.log(result.text);
}

main();
CaptionHub
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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 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.

Mastra's agent abstraction provides a clean separation between LLM logic and CaptionHub tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the CaptionHub MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

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

04

Explore tools

Mastra discovers 10 tools from CaptionHub via MCP

Why Use Mastra AI with the CaptionHub MCP Server

Mastra AI provides unique advantages when paired with CaptionHub through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CaptionHub without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every CaptionHub tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

CaptionHub + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the CaptionHub MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query CaptionHub, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed CaptionHub as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query CaptionHub on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using CaptionHub tools alongside other MCP servers

CaptionHub MCP Tools for Mastra AI (10)

These 10 tools become available when you connect CaptionHub to Mastra AI via MCP:

01

approve_captions

Approve a caption set for a specific language

02

archive_project

Archive a project permanently

03

create_project

Create a new captioning project

04

export_captions

Get the export URL for a caption set

05

get_account_info

Retrieve core account information

06

get_project_details

Get details of a specific project

07

list_projects

List all video captioning projects

08

list_webhooks

List all active webhooks

09

transcribe_video

Trigger AI auto-transcription for a project

10

update_project

Update project metadata

Example Prompts for CaptionHub in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with CaptionHub immediately.

01

"List all my current video projects in CaptionHub."

02

"Start auto-transcription for the 'Product Keynote' project."

03

"Get the French subtitle export link for project proj_123."

Troubleshooting CaptionHub MCP Server with Mastra AI

Common issues when connecting CaptionHub to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

CaptionHub + Mastra AI FAQ

Common questions about integrating CaptionHub MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect CaptionHub to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.