# mcp-nypl

> Use this tool when you need to search and retrieve specific items from the NYPL Digital Collections. It solves problems of accessing historical and cultural content by allowing keyword or ID-based searches, providing relevant items as output. Ideal for research, education, or cultural exploration, it takes in keywords or IDs as input and returns relevant collection items.

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

## Description

Search and retrieve items from the NYPL Digital Collections by keyword or ID.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b60d5ko1g7)
- **Repository:** <https://github.com/pipeworx-io/mcp-nypl>

## 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-nypl"
    }
  }
}
```

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