# pdf-mcp

> Use this tool when you need to extract insights from PDF files, such as text, tables, and diagrams, and require a server-based solution for large-scale document processing. The pdf-mcp tool solves problems related to PDF parsing, indexing, and rendering, accepting PDF files as input and outputting extracted text, tables, and images. It is particularly useful in contexts where large language models (LLMs) need to analyze and understand complex PDF documents.

Canonical page: https://skillsregistry.net/skills/i-can-hack-pdf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/i-can-hack-pdf-mcp

## Description

An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ri3dt7dazz)
- **Repository:** <https://github.com/I-CAN-hack/pdf-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": "i-can-hack-pdf-mcp"
    }
  }
}
```

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