api.video MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Create Video Object, Delete Video, Get Video Analytics, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect api.video through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The api.video app connector for OpenAI Agents SDK 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 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="api.video Assistant",
instructions=(
"You help users interact with api.video. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from api.video"
)
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 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.
The OpenAI Agents SDK auto-discovers all 9 tools from api.video through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries api.video, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 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.
All 9 api.video tools available for OpenAI Agents SDK
When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to wire api.video into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the api.video MCP Server
OpenAI Agents SDK provides unique advantages when paired with api.video 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
api.video + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the api.video MCP Server delivers measurable value.
Automated workflows: build agents that query api.video, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries api.video, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through api.video tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query api.video to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for api.video in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting api.video to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
api.video + OpenAI Agents SDK FAQ
Common questions about integrating api.video 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.