CaptionHub MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CaptionHub through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="CaptionHub Assistant",
instructions=(
"You help users interact with CaptionHub. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CaptionHub"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 10 tools from CaptionHub through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CaptionHub, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the CaptionHub MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from CaptionHub
Why Use OpenAI Agents SDK with the CaptionHub MCP Server
OpenAI Agents SDK provides unique advantages when paired with CaptionHub through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
CaptionHub + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CaptionHub MCP Server delivers measurable value.
Automated workflows: build agents that query CaptionHub, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CaptionHub, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CaptionHub tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CaptionHub to resolve tickets, look up records, and update statuses without human intervention
CaptionHub MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect CaptionHub to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting CaptionHub to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CaptionHub + OpenAI Agents SDK FAQ
Common questions about integrating CaptionHub MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect CaptionHub with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.