Can I trigger auto-transcription for a video using the agent?

Yes! Use the `transcribe_video` tool with the Project ID. Your agent will trigger CaptionHub's AI engine to start transcribing the video content instantly.

How do I get the download link for finished subtitles?

Simply ask the agent to `export_captions` and provide the Project ID and the language code (e.g., 'fr' or 'es'). It will return the export URL for your finished caption set.

Does the integration allow approving captions via the workspace?

Yes. Use the `approve_captions` tool with the Project ID and Language. This will mark the specific caption set as approved in your CaptionHub workflow.

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

Name: CaptionHub
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 10 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Open in ChatGPT Open in Claude Open in Perplexity

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The modern way to manage MCP Servers — no config files, no terminal commands. Install CaptionHub and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "captionhub": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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.

Cursor's Agent mode turns CaptionHub into an in-editor superpower. Ask Cursor to generate code using live data from CaptionHub and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

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 Cursor 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 Cursor via MCP

Follow these steps to integrate the CaptionHub MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using CaptionHub

Open Agent mode in chat and ask: "Using CaptionHub, help me...". 10 tools available

Why Use Cursor with the CaptionHub MCP Server

Cursor AI Code Editor provides unique advantages when paired with CaptionHub through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

CaptionHub + Cursor Use Cases

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

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

CaptionHub MCP Tools for Cursor (10)

These 10 tools become available when you connect CaptionHub to Cursor 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 Cursor

Ready-to-use prompts you can give your Cursor 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 Cursor

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

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

CaptionHub + Cursor FAQ

Common questions about integrating CaptionHub MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.