The Met Museum MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect The Met Museum through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"the-met-museum": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using The Met Museum, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with The Met Museum through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the The Met Museum MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from The Met Museum via MCP
Why Use LangChain with the The Met Museum MCP Server
LangChain provides unique advantages when paired with The Met Museum through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine The Met Museum MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across The Met Museum queries for multi-turn workflows
The Met Museum + LangChain Use Cases
Practical scenarios where LangChain combined with the The Met Museum MCP Server delivers measurable value.
RAG with live data: combine The Met Museum tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query The Met Museum, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain The Met Museum tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every The Met Museum tool call, measure latency, and optimize your agent's performance
The Met Museum MCP Tools for LangChain (8)
These 8 tools become available when you connect The Met Museum to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting The Met Museum to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersThe Met Museum + LangChain FAQ
Common questions about integrating The Met Museum MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.