Rendi MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Convert Video To Audio, Delete File, Ffprobe, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Rendi 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 Rendi app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 11 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="Rendi Assistant",
instructions=(
"You help users interact with Rendi. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Rendi"
)
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 Rendi MCP Server
Connect your Rendi account to any AI agent and take full control of your cloud-based media processing and FFmpeg orchestration through natural conversation. Rendi provides a serverless platform for executing professional video and audio commands, allowing you to convert formats, generate thumbnails, and probe media metadata directly from your chat interface.
The OpenAI Agents SDK auto-discovers all 11 tools from Rendi through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Rendi, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- FFmpeg Command Orchestration — Run any standard FFmpeg command in the cloud programmatically without managing server infrastructure.
- Media Format Intelligence — Convert videos to audio, generate GIFs, and create thumbnails directly from the AI interface using simple natural language.
- Chained Workflow Control — Execute multiple media commands in a single request to automate complex processing pipelines.
- FFprobe & Metadata Analysis — Analyze media files and retrieve technical metadata to ensure your assets meet professional standards.
- Operational Monitoring — Track system activity and manage temporary cloud storage files using simple AI commands.
The Rendi MCP Server exposes 11 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 11 Rendi tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Rendi through Vinkius, your AI agent gets direct access to every tool listed below — spanning ffmpeg, media-processing, video-transcoding, 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.
Quickly convert a video to audio
Delete a file from Rendi storage
Analyze a media file using ffprobe
Generate a thumbnail from a video
Once completed, it provides the storage URL for output files. Get status of an FFmpeg command
Get details for a stored file
Get metadata and details for a specific file
List all submitted FFmpeg commands
List all files in Rendi storage
Run multiple chained FFmpeg commands
Returns a command ID to poll for status. Run a single FFmpeg command in the cloud
Connect Rendi to OpenAI Agents SDK via MCP
Follow these steps to wire Rendi 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 Rendi MCP Server
OpenAI Agents SDK provides unique advantages when paired with Rendi 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
Rendi + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Rendi MCP Server delivers measurable value.
Automated workflows: build agents that query Rendi, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Rendi, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Rendi tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Rendi to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Rendi in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Rendi immediately.
"Analyze this media file for technical metadata: https://example.com/video.mp4"
"Convert this MP4 video to WebM format with H265 encoding and reduce the file size by 50%."
"Analyze the media properties of the uploaded video file and show me all codec and stream details."
Troubleshooting Rendi MCP Server with OpenAI Agents SDK
Common issues when connecting Rendi to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Rendi + OpenAI Agents SDK FAQ
Common questions about integrating Rendi 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.