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savepinner-mcp

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MCP server for parsing, validating, classifying, and normalizing Pinterest URLs.

MCP ServersRegistry oficial0 estrellas0 forksJavaScriptMITActualizado today
Install in Claude Code / Claude Desktop
Method: NPX · savepinner-mcp
Claude Code CLI
claude mcp add savepinner-mcp -- npx -y savepinner-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "savepinner-mcp": {
      "command": "npx",
      "args": ["-y", "savepinner-mcp"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Casos de uso

Resumen de MCP Servers

# SavePinner MCP

An MCP server for parsing, validating, classifying, and normalizing Pinterest URLs. It runs locally, makes no network requests, and does not download media.

## Tools

| Tool | Purpose |
| --- | --- |
| `parse_pinterest_url` | Return the URL kind, canonical URL, host, and type-specific identifiers. |
| `normalize_pinterest_url` | Convert a supported URL to canonical form and remove tracking parameters. |
| `is_pinterest_url` | Check whether a value is a supported Pinterest URL. |

Supported URL kinds include Pin, `pin.it`, profile, board, and Ideas URLs across Pinterest country domains.

## Run

Node.js 18 or newer is required.

```bash
npx -y savepinner-mcp
```

## Client configuration

Add the server to an MCP client that supports local `stdio` servers:

```json
{
  "mcpServers": {
    "savepinner": {
      "command": "npx",
      "args": ["-y", "savepinner-mcp"]
    }
  }
}
```

## Docker

Build and run the server as a local stdio container:

```bash
docker build -t savepinner-mcp .
docker run --rm -i savepinner-mcp
```

The runtime image executes as the unprivileged `node` user and does not require secrets, volumes, or network access.

## Example

Calling `parse_pinterest_url` with:

```text
https://de.pinterest.com/pin/987654321/?utm_source=share
```

returns:

```json
{
  "kind": "pin",
  "originalUrl": "https://de.pinterest.com/pin/987654321/?utm_source=share",
  "normalizedUrl": "https://www.pinterest.com/pin/987654321/",
  "host": "de.pinterest.com",
  "pinId": "987654321"
}
```

## Privacy and safety

- All processing is local.
- The server does not make network requests.
- The server does not download media.
- Hostnames are checked against an exact Pinterest domain allow list.
- Lookalike domains and non-HTTPS URLs are rejected.

The URL parser is provided by [`pinterest-url-normalizer`](https://www.npmjs.com/package/pinterest-url-normalizer).

This project is maintained by the team behind [SavePinner](https://savepinner.com/pinterest-downloader/), a browser tool for inspecting media exposed by public Pinterest Pin URLs.

Pinterest is a trademark of Pinterest, Inc. This project is independent and is not affiliated with or endorsed by Pinterest.

## Development

```bash
npm install
npm test
```

## License

MIT

Lo que la gente pregunta sobre savepinner-mcp

¿Qué es jiankn/savepinner-mcp?

+

jiankn/savepinner-mcp es mcp servers para el ecosistema de Claude AI. MCP server for parsing, validating, classifying, and normalizing Pinterest URLs. Tiene 0 estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala savepinner-mcp?

+

Puedes instalar savepinner-mcp clonando el repositorio (https://github.com/jiankn/savepinner-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar jiankn/savepinner-mcp?

+

jiankn/savepinner-mcp aún no ha sido auditado por nuestro agente de seguridad. Revisa el repositorio original en GitHub antes de usarlo en producción.

¿Quién mantiene jiankn/savepinner-mcp?

+

jiankn/savepinner-mcp es mantenido por jiankn. La última actividad registrada en GitHub es de today, con 0 issues abiertos.

¿Hay alternativas a savepinner-mcp?

+

Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.

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