CaptionHub MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add CaptionHub as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="captionhub_agent",
tools=tools,
system_message=(
"You help users with CaptionHub. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use CaptionHub tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the CaptionHub MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from CaptionHub automatically
Why Use AutoGen with the CaptionHub MCP Server
AutoGen provides unique advantages when paired with CaptionHub through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use CaptionHub tools to solve complex tasks
Role-based architecture lets you assign CaptionHub tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive CaptionHub tool calls
Code execution sandbox: AutoGen agents can write and run code that processes CaptionHub tool responses in an isolated environment
CaptionHub + AutoGen Use Cases
Practical scenarios where AutoGen combined with the CaptionHub MCP Server delivers measurable value.
Collaborative analysis: one agent queries CaptionHub while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from CaptionHub, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using CaptionHub data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process CaptionHub responses in a sandboxed execution environment
CaptionHub MCP Tools for AutoGen (10)
These 10 tools become available when you connect CaptionHub to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting CaptionHub to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"CaptionHub + AutoGen FAQ
Common questions about integrating CaptionHub MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
