# PDF Reader MCP

> Use this tool when you need to extract data from PDF documents efficiently, as it solves problems related to information retrieval and text analysis by processing local files and URL-based sources in parallel. It takes PDF files or URLs as input and outputs extracted text, images, and metadata, preserving the natural reading flow through intelligent content ordering. Ideal for use cases requiring high-performance document processing and data extraction.

Canonical page: https://skillsregistry.net/skills/bach-ai-tools-pdf-reader-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bach-ai-tools-pdf-reader-mcp

## Description

A high-performance Model Context Protocol server that enables AI agents to extract text, images, and metadata from PDF documents using parallel processing. It features intelligent Y-coordinate content ordering to preserve natural reading flow and supports both local files and URL-based sources.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/khz5lfiql2)
- **Repository:** <https://github.com/BACH-AI-Tools/pdf-reader-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": "bach-ai-tools-pdf-reader-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bach-ai-tools-pdf-reader-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bach-ai-tools-pdf-reader-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