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 LangChain 10 tools — connect in under 2 minutes

Name: CaptionHub
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect CaptionHub through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "captionhub": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using CaptionHub, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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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 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.

LangChain's ecosystem of 500+ components combines seamlessly with CaptionHub through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from CaptionHub via MCP

Why Use LangChain with the CaptionHub MCP Server

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

The largest ecosystem of integrations, chains, and agents. combine CaptionHub MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across CaptionHub queries for multi-turn workflows

CaptionHub + LangChain Use Cases

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

RAG with live data: combine CaptionHub tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query CaptionHub, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain CaptionHub tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every CaptionHub tool call, measure latency, and optimize your agent's performance

CaptionHub MCP Tools for LangChain (10)

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

CaptionHub + LangChain FAQ

Common questions about integrating CaptionHub MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.