Getty Images 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 Getty Images through 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="Getty Images Assistant",
instructions=(
"You help users interact with Getty Images. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Getty Images"
)
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 Getty Images MCP Server
Connect your Getty Images account to any AI agent and take full control of your stock media research and asset procurement through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Getty Images through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Getty Images, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Stock Media Orchestration — Search over 500M editorial and creative images to retrieve asset IDs, titles, and preview URLs natively within your chat
- Creative Discovery — Identify bounded creative images pre-filtered for commercial, advertising, and marketing use flawlessly
- Editorial Auditing — Search across news, sports, entertainment, and archival photography to track specific historical events and global trends synchronousy
- Video Library Management — Browse stock video libraries and retrieve duration, aspect ratio, and available resolution metadata securely
- Visual Similarity Search — Find visually similar assets by providing source IDs to discover related compositions and aesthetic patterns natively
- Lightbox Collection Oversight — List and manage your Lightbox collections to organize selected assets across different projects limitlessly
- Asset Procurement — Execute direct download mutations to consume corporate quota limits and retrieve high-resolution download URLs securely
The Getty Images 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 Getty Images to OpenAI Agents SDK via MCP
Follow these steps to integrate the Getty Images 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 Getty Images
Why Use OpenAI Agents SDK with the Getty Images MCP Server
OpenAI Agents SDK provides unique advantages when paired with Getty Images 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
Getty Images + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Getty Images MCP Server delivers measurable value.
Automated workflows: build agents that query Getty Images, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Getty Images, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Getty Images tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Getty Images to resolve tickets, look up records, and update statuses without human intervention
Getty Images MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Getty Images to OpenAI Agents SDK via MCP:
download_image
Returns download URL and consumes corporate quota limits. Pass asset ID. Download a Getty image
get_image
Get full details of a Getty image
get_images_batch
Get details for multiple Getty images at once
get_similar
Find visually similar Getty images
get_video
Get full details of a Getty video
list_collections
List your Getty lightbox collections
search_creative
Search Getty creative (commercial-use) images only
search_editorial
Not for commercial use. Search Getty editorial images
search_images
Returns asset IDs, titles, captions, preview URLs. Pass phrase and page. Search Getty Images stock photos
search_videos
Search Getty stock videos
Example Prompts for Getty Images in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Getty Images immediately.
"Search for creative images of 'modern sustainable architecture'"
"Find visually similar images to asset '12345678'"
"List my Getty lightboxes"
Troubleshooting Getty Images MCP Server with OpenAI Agents SDK
Common issues when connecting Getty Images to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Getty Images + OpenAI Agents SDK FAQ
Common questions about integrating Getty Images 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 Getty Images 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.
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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 Getty Images to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.