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Cooper Hewitt

This Cooper Hewitt MCP server, developed by behole, provides an interface for AI assistants to interact with the Cooper Hewitt Museum's collection API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for searching objects and retrieving detailed information about specific museum artifacts. The implementation focuses on efficient data retrieval and formatting, making it easy for AI models to explore and analyze the museum's vast collection. It's particularly useful for tasks like art research, cultural analysis, or integrating museum data into AI-driven applications, allowing assistants to access Cooper Hewitt's extensive design archive without requiring deep knowledge of the underlying API complexities.

Cognium trust score

95%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/behole/cooper-hewitt-mcp
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Cooper Hewitt from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"