Getty Images MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Getty Images as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="getty_images_agent",
tools=tools,
system_message=(
"You help users with Getty Images. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Getty Images tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Getty Images MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Getty Images automatically
Why Use AutoGen with the Getty Images MCP Server
AutoGen provides unique advantages when paired with Getty Images through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Getty Images tools to solve complex tasks
Role-based architecture lets you assign Getty Images tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Getty Images tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Getty Images tool responses in an isolated environment
Getty Images + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Getty Images MCP Server delivers measurable value.
Collaborative analysis: one agent queries Getty Images while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Getty Images, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Getty Images data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Getty Images responses in a sandboxed execution environment
Getty Images MCP Tools for AutoGen (10)
These 10 tools become available when you connect Getty Images to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Getty Images to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Getty Images + AutoGen FAQ
Common questions about integrating Getty Images MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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.
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 Getty Images to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.