# mcp-metmuseum

> mcp-metmuseum — pipeworx-io-mcp-metmuseum. Use this tool when you need to access and manage the Metropolitan Museum of Art's collection, solving problems related to art historical research and education. It provides an interface to explore and utilize the museum's collection data, accepting inputs such as queries and commands, and outputting relevant information and resources. Ideal for use in academic, research, or cultural contexts where art historical data is required.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-metmuseum  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-metmuseum

## Description

The Metropolitan Museum of Art Collection MCP.

## 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:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-metmuseum)

## 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": "pipeworx-io-mcp-metmuseum"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-metmuseum` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-metmuseum/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