# Harvard Art Museums

> Use this tool when you need to access a vast collection of artworks, artist records, and museum objects for research, education, or creative projects. It solves problems related to art data retrieval, providing filters and search functionality to retrieve specific information, and offers outputs such as detailed artwork information, artist records, and random artworks with optional filters. With inputs including search queries, IDs, and filter options, it is ideal for use cases requiring structured access to a premier art collection.

Canonical page: https://skillsregistry.net/skills/alexlin1234-harvard-art-museums  
JSON: https://api.skillsregistry.net/v1/skills/alexlin1234-harvard-art-museums

## Description

Provides access to Harvard Art Museums' extensive collection of over 224,000 artworks, artist records, and museum objects through their public API. Built by AlexLin1234, it offers five core tools for searching and retrieving art data: searching objects with filters, fetching detailed artwork information by ID, searching for artists and people, retrieving person details, and discovering random artworks with optional classification or culture filters. The implementation uses Pydantic for data validation and includes built-in image filtering to ensure results include visual content, making it valuable for art research, educational applications, cultural exploration, and creative projects that need structured access to one of the world's premier art collections.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/alexlin1234-harvard-art-museums)
- **Repository:** <https://github.com/alexlin1234/harvard-art-museums-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "alexlin1234-harvard-art-museums"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexlin1234-harvard-art-museums` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexlin1234-harvard-art-museums/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt