Transloadit MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Transloadit through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Transloadit Assistant",
instructions=(
"You help users interact with Transloadit. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Transloadit"
)
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 Transloadit MCP Server
Transform your AI agent into a full-scale media orchestration engine by connecting it to your Transloadit application. Eliminate complicated dashboards and rely entirely upon conversational instructions to launch, monitor, or abort heavy "Assemblies" (media jobs), track operational bills, and register scalable JSON templates without manual interactions.
The OpenAI Agents SDK auto-discovers all 10 tools from Transloadit through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Transloadit, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Assembly Execution — Feed a JSON steps configuration directly into your agent to prompt complex file encodings, resizing jobs, or transmutations natively
- Live Monitoring — Interrogate the agent to retrieve exact results, completion statuses, or outputs parameters for any active or past processing task (Assembly)
- Template Management — Build reusable encoding architectures (Templates) through chat instructions, list available pipelines, or delete deprecated presets
- Error Recovery — Immediately command the AI to cancel heavily hung/unnecessary processing batches or instruct a strict "job replay" to re-attempt a failed cycle
- Resource Tracking — Access your precise billing usage and operational costs per specific month natively without hunting reports on the dashboard
The Transloadit MCP Server exposes 10 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.
How to Connect Transloadit to OpenAI Agents SDK via MCP
Follow these steps to integrate the Transloadit MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Transloadit
Why Use OpenAI Agents SDK with the Transloadit MCP Server
OpenAI Agents SDK provides unique advantages when paired with Transloadit 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
Transloadit + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Transloadit MCP Server delivers measurable value.
Automated workflows: build agents that query Transloadit, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Transloadit, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Transloadit tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Transloadit to resolve tickets, look up records, and update statuses without human intervention
Transloadit MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Transloadit to OpenAI Agents SDK via MCP:
cancel_assembly
This action is final. Aborts a running Transloadit assembly
create_assembly
Provide a steps JSON defining the pipeline. Creates a Transloadit assembly for automated file processing
create_processing_template
Provide a name and the steps JSON. Creates a reusable JSON template for file processing
delete_template
This action is irreversible. Permanently deletes a processing template
get_assembly_details
Retrieves the status and results of a specific Transloadit assembly
get_billing_usage
Pass the month in YYYY-MM format. Retrieves file processing usage and costs for a specific month
get_template_details
Retrieves the configuration of a specific Transloadit template
list_assemblies
Lists recent Transloadit assemblies in the account
list_templates
Lists all saved processing templates
replay_assembly
Re-runs a completed Transloadit assembly
Example Prompts for Transloadit in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Transloadit immediately.
"Fetch the billing usage details for January 2026."
"Cancel the running assembly calculation currently at ID b13a4x2."
Troubleshooting Transloadit MCP Server with OpenAI Agents SDK
Common issues when connecting Transloadit to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Transloadit + OpenAI Agents SDK FAQ
Common questions about integrating Transloadit 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.Does the SDK support streaming responses?
Connect Transloadit with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Transloadit to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.