remove-metadata-from-pdf

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0
Source

Remove metadata from one or multiple PDFs by uploading them to the Solutions API, polling until completion, then returning download URL(s) for the cleaned PDF(s) (or a ZIP if multiple).

Install

mkdir -p .claude/skills/remove-metadata-from-pdf && curl -L -o skill.zip "https://mcp.directory/api/skills/download/4258" && unzip -o skill.zip -d .claude/skills/remove-metadata-from-pdf && rm skill.zip

Installs to .claude/skills/remove-metadata-from-pdf

About this skill

remove-metadata-from-pdf

Purpose

This skill removes metadata from one or multiple PDFs by:

  1. accepting one or multiple PDF files from the user,
  2. uploading them to the Solutions API,
  3. polling the job status until it is finished,
  4. returning download URL(s) for the cleaned file(s). If multiple PDFs are processed, the output may include multiple PDFs and/or a ZIP for download.

Credentials

The API requires an API key used as a Bearer token:

  • Authorization: Bearer <API_KEY>

How the user gets an API key:

Rule: never echo or log the API key.

API endpoints

Base URL:

  • https://api.xss-cross-service-solutions.com/solutions/solutions

Create job:

  • POST /api/40
  • multipart/form-data parameters:
    • files — required — multiple PDF files (multiple_files)

Get result by ID:

  • GET /api/<ID>

When done, the response contains:

  • output.files[] with { name, path } where path is a downloadable URL (PDFs and/or ZIP).

Inputs

Required

  • One or more PDF files (binary)
  • API key (string)

Optional

  • None

Output

Return a structured result:

  • job_id (number)
  • status (string)
  • outputs (array) containing { name, path } for each output file
  • Convenience fields:
    • download_url (string) if exactly one output exists
    • download_urls (array of strings) for all outputs
  • input_files (array of strings)

Example output:

{
  "job_id": 990,
  "status": "done",
  "outputs": [
    { "name": "cleaned.pdf", "path": "https://.../cleaned.pdf" }
  ],
  "download_url": "https://.../cleaned.pdf",
  "download_urls": ["https://.../cleaned.pdf"],
  "input_files": ["input.pdf"]
}

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