The Met Museum MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect The Met Museum 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 The Met Museum "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in The Met Museum?"
)
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 The Met Museum MCP Server
Connect to The Met Museum and explore one of the world's largest art collections through natural conversation — no API key needed.
Pydantic AI validates every The Met Museum tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- Artwork Search — Search 470,000+ artworks by artist name, title, culture, medium or any term
- Artwork Details — Get full metadata including title, artist, date, medium, dimensions, credit line and images
- Department Browse — Explore artworks by department (European Paintings, Egyptian Art, Asian Art, etc.)
- Highlights — Discover curator-selected highlights from the collection
- On-View Objects — Find artworks currently displayed in the museum galleries
- Date Range Search — Filter artworks by century or specific date ranges
- Image Discovery — Find artworks with Open Access CC0 images
The The Met Museum MCP Server exposes 8 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 The Met Museum to Pydantic AI via MCP
Follow these steps to integrate the The Met Museum 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 8 tools from The Met Museum with type-safe schemas
Why Use Pydantic AI with the The Met Museum MCP Server
Pydantic AI provides unique advantages when paired with The Met Museum 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 The Met Museum integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your The Met Museum connection logic from agent behavior for testable, maintainable code
The Met Museum + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the The Met Museum MCP Server delivers measurable value.
Type-safe data pipelines: query The Met Museum with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple The Met Museum tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query The Met Museum and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock The Met Museum responses and write comprehensive agent tests
The Met Museum MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect The Met Museum to Pydantic AI via MCP:
get_departments
Useful for filtering searches by department (e.g. European Paintings, Egyptian Art, Asian Art, Arms and Armor). Get all museum departments
get_object
Returns title, artist, culture, date, medium, dimensions, credit line, repository URL, image URLs and more. All Open Access images are CC0 public domain. Get detailed info for a specific artwork by object ID
get_objects_by_department
Use get_departments first to find the department ID. Returns list of object IDs which can be used with get_object for full details. Get all object IDs for a specific department
search_by_century
Returns object IDs which can be used with get_object for full artwork details including images. Search for objects created in a specific century
search_highlights
These represent some of the most significant and popular works in the collection. Search for highlighted (curator-selected) objects
search_objects
Supports filtering by department, date range, medium, images, highlights and on-view status. Returns object IDs which can be used with get_object for full details. Search The Met collection for artworks
search_on_view
Useful for planning museum visits. Search for objects currently on view in the museum
search_with_images
Useful for finding visual artworks. Supports all standard search filters plus has_images=true. Search for objects that have images
Example Prompts for The Met Museum in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with The Met Museum immediately.
"Search for paintings by Monet."
"Show me the highlights from Egyptian Art."
"Find sculptures from the 1800s."
Troubleshooting The Met Museum MCP Server with Pydantic AI
Common issues when connecting The Met Museum to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiThe Met Museum + Pydantic AI FAQ
Common questions about integrating The Met Museum 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 The Met Museum 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 The Met Museum to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.