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RenderMe MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Api Health, Create Video Render Job, Get Account Render Stats, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect RenderMe through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The RenderMe app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="RenderMe Assistant",
            instructions=(
                "You help users interact with RenderMe. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from RenderMe"
        )
        print(result.final_output)

asyncio.run(main())
RenderMe
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 RenderMe MCP Server

Connect your RenderMe (re.video) account to any AI agent and take full control of your automated video production and media orchestration through natural conversation. RenderMe provides a powerful API for rendering professional videos from motion templates, allowing you to trigger render jobs, manage deployments, and track media assets directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 12 tools from RenderMe through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries RenderMe, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Automated Video Rendering — Trigger video generation jobs using deployment IDs and dynamic variables (text, images, colors) programmatically.
  • Job Lifecycle Management — Monitor the status of your rendering requests and retrieve final result URLs directly from the AI interface.
  • Template & Deployment Control — List all available video templates and access detailed technical metadata to ensure your visual content is always on-brand.
  • Asset & Folder Oversight — Manage your video projects, uploaded media, and organizational folders via natural language.
  • Operational Monitoring — Track account statistics and monitor system health using simple AI commands.

The RenderMe MCP Server exposes 12 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 12 RenderMe tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to RenderMe through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-automation, motion-graphics, video-rendering, 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.

check_api_health

Verify RenderMe API connectivity

create_video_render_job

Trigger a new video rendering job

get_account_render_stats

Get account usage and render statistics

get_current_user

Get authenticated user profile

get_render_job_status

Check status of a render job

get_template_details

Get details for a specific video template

list_asset_folders

List asset organization folders

list_configured_webhooks

List active webhooks

list_recent_render_jobs

List recent video render jobs

list_uploaded_assets

List all uploaded images and media

list_video_projects

List all video projects

list_video_templates

List all video templates (deployments)

Connect RenderMe to OpenAI Agents SDK via MCP

Follow these steps to wire RenderMe into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from RenderMe

Why Use OpenAI Agents SDK with the RenderMe MCP Server

OpenAI Agents SDK provides unique advantages when paired with RenderMe through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

RenderMe + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the RenderMe MCP Server delivers measurable value.

01

Automated workflows: build agents that query RenderMe, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries RenderMe, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through RenderMe tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query RenderMe to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for RenderMe in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with RenderMe immediately.

01

"List all my video deployments in RenderMe."

02

"Render a batch of 50 personalized certificate images for our training program graduates."

03

"Show me the rendering statistics and API usage for my account this month."

Troubleshooting RenderMe MCP Server with OpenAI Agents SDK

Common issues when connecting RenderMe to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

RenderMe + OpenAI Agents SDK FAQ

Common questions about integrating RenderMe MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.