# pdf-card-mcp

> Use this tool when you need to convert complex PDF documents into easily readable formats, solving problems of dense text and image rendering. It takes PDF files as input and outputs HTML readers with preserved text, rendered pages, and extracted images of tables and figures. Ideal for enhancing readability and accessibility of academic papers, research documents, and other dense PDF materials.

Canonical page: https://skillsregistry.net/skills/velyan-pdf-card-mcp  
JSON: https://api.skillsregistry.net/v1/skills/velyan-pdf-card-mcp

## Description

Converts dense PDFs into soft, minimal, card-based HTML readers with preserved source text, rendered pages, and cropped tables/figures as images, all processed locally.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/huben2xals)
- **Repository:** <https://github.com/velyan/pdf-card-mcp>

## 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": "velyan-pdf-card-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/velyan-pdf-card-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/velyan-pdf-card-mcp/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