Getty Images MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Getty Images as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Getty Images. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Getty Images?"
)
print(response)
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.
LlamaIndex agents combine Getty Images tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Getty Images MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Getty Images
Why Use LlamaIndex with the Getty Images MCP Server
LlamaIndex provides unique advantages when paired with Getty Images through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Getty Images tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Getty Images tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Getty Images, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Getty Images tools were called, what data was returned, and how it influenced the final answer
Getty Images + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Getty Images MCP Server delivers measurable value.
Hybrid search: combine Getty Images real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Getty Images to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Getty Images for fresh data
Analytical workflows: chain Getty Images queries with LlamaIndex's data connectors to build multi-source analytical reports
Getty Images MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Getty Images to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Getty Images to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGetty Images + LlamaIndex FAQ
Common questions about integrating Getty Images MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Getty Images to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.