# pdfcompress-mcp

> pdfcompress-mcp — ncepuee-pdfcompress. Use this tool when you need to optimize PDF files for efficient analysis and storage, reducing file size while preserving essential content and structure. It solves problems related to large PDF files, enabling faster processing and transmission. The tool takes PDF files as input and outputs compressed PDFs with configurable settings, making it ideal for use cases where file size and quality are critical.

Canonical page: https://skillsregistry.net/skills/ncepuee-pdfcompress  
JSON: https://api.skillsregistry.net/v1/skills/ncepuee-pdfcompress

## Description

Enables AI agents to analyze, compress, and verify PDFs while preserving text, vectors, and document structure, with configurable presets and target-size limits.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ck2v6yfrxe)
- **Repository:** <https://github.com/ncepuee/PDFCompress>

## 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": "ncepuee-pdfcompress"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ncepuee-pdfcompress` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ncepuee-pdfcompress/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