api.video MCP Server for AutoGenGive AutoGen instant access to 9 tools to Create Video Object, Delete Video, Get Video Analytics, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add api.video as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
Ask AI about this App Connector for AutoGen
The api.video app connector for AutoGen is a standout in the Developer Tools category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="apivideo_agent",
tools=tools,
system_message=(
"You help users with api.video. "
"9 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 api.video MCP Server
Connect your api.video account to any AI agent and take full control of your professional video hosting infrastructure and automated media workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use api.video tools. Connect 9 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
- Video Orchestration — List and manage your entire high-fidelity video library programmatically, or create new video objects to prepare for uploads in real-time
- Asset Intelligence — Retrieve detailed high-fidelity status and direct asset URLs for players, thumbnails, and navigation markers (chapters) directly through your agent
- Deep Analytics Tracking — Monitor performance metrics like total plays and impressions using high-fidelity aggregation tools to coordinate your content strategy
- Multilingual Captions — Access and manage subtitle tracks across multiple languages to maintain a perfectly coordinated global viewer experience
- Infrastructure Monitoring — Access your directory of custom player themes and store-level metadata directly through your agent for instant operational reporting
The api.video MCP Server exposes 9 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.
All 9 api.video tools available for AutoGen
When AutoGen connects to api.video through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-hosting, video-streaming, encoding, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Set title and description here. Initialize a new video
video. Permanently delete a video
Retrieve performance metrics
Get metadata for a video
List custom player themes
List captions for a video
List chapters for a video
Supports filtering by title or tags. List your api.video videos
Modify video metadata
Connect api.video to AutoGen via MCP
Follow these steps to wire api.video into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the api.video MCP Server
AutoGen provides unique advantages when paired with api.video through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use api.video tools to solve complex tasks
Role-based architecture lets you assign api.video 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 api.video tool calls
Code execution sandbox: AutoGen agents can write and run code that processes api.video tool responses in an isolated environment
api.video + AutoGen Use Cases
Practical scenarios where AutoGen combined with the api.video MCP Server delivers measurable value.
Collaborative analysis: one agent queries api.video while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from api.video, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using api.video data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process api.video responses in a sandboxed execution environment
Example Prompts for api.video in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with api.video immediately.
"List the last 5 videos in my api.video account."
"Show the play count analytics for all videos this month."
"Get the player link and captions for video ID 'vi123'."
Troubleshooting api.video MCP Server with AutoGen
Common issues when connecting api.video to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"api.video + AutoGen FAQ
Common questions about integrating api.video MCP Server with AutoGen.