Compatible with every major AI agent and IDE
Get departments on The Met Museum
Useful for filtering searches by department (e.g. European Paintings, Egyptian Art, Asian Art, Arms and Armor). Get all museum departments
Get object on The Met Museum
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 on The Met Museum
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 on The Met Museum
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 on The Met Museum
These represent some of the most significant and popular works in the collection. Search for highlighted (curator-selected) objects
Search objects on The Met Museum
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 on The Met Museum
Useful for planning museum visits. Search for objects currently on view in the museum
Search with images on The Met Museum
Useful for finding visual artworks. Supports all standard search filters plus has_images=true. Search for objects that have images
How Vinkius protects your data
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How many artworks are in the collection?
The Met collection includes 470,000+ artworks spanning 5,000 years of art history from every part of the globe.
Does the AI train on my tools or API data?
No. Vinkius enforces a strict Zero-Retention policy. Your data simply passes through our secure servers to complete the requested action and is instantly forgotten. Nothing you do here is ever stored, logged, or used to train any artificial intelligence.
Automated Workflows using The Met Museum
Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the The Met Museum MCP server to manage operations across the following domains.
Next-Gen art history Operations
The The Met Museum toolkit provides secure access to art history functions. It enables conversational agents to manage knowledge management settings deterministically.
Next-Gen cultural heritage Automation
The The Met Museum toolkit provides structured tools for cultural heritage. It enables conversational interfaces like Claude Code to query and modify data within your knowledge management infrastructure.
The Met Museum. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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