Getty Images MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Getty Images through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Getty Images "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Getty Images?"
)
print(result.data)
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.
Pydantic AI validates every Getty Images tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Getty Images MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the Getty Images MCP Server
Pydantic AI provides unique advantages when paired with Getty Images through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Getty Images integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Getty Images connection logic from agent behavior for testable, maintainable code
Getty Images + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Getty Images MCP Server delivers measurable value.
Type-safe data pipelines: query Getty Images with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Getty Images tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Getty Images and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Getty Images responses and write comprehensive agent tests
Getty Images MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Getty Images to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Getty Images to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiGetty Images + Pydantic AI FAQ
Common questions about integrating Getty Images MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Getty Images with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.