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Extract Structured Text Metadata Tables And Images From Mixed Documents Through An Mcp Server With Kreuzberg

ASecurity

Expose one document-extraction surface to MCP-compatible agents so they can normalize PDFs, Office files, images, HTML, and other mixed inputs before downstream review or indexing.

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  • Added June 8, 2026
ai-agentspythongorubynodegitapisecuritydocumentation

Works with

  • cli
  • api
  • mcp

Security analysis

A100/100

Scanned June 8, 2026

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SKILL.md
---
name: "Extract structured text, metadata, tables, and images from mixed documents through an MCP server with Kreuzberg"
slug: "extract-structured-text-metadata-tables-and-images-from-mixed-documents-through-an-mcp-server-with-kreuzberg"
description: "Expose one document-extraction surface to MCP-compatible agents so they can normalize PDFs, Office files, images, HTML, and other mixed inputs before downstream review or indexing."
github_stars: 7630
verification: "security_reviewed"
source: "https://github.com/kreuzberg-dev/kreuzberg"
author: "kreuzberg-dev"
publisher_type: "organization"
category: "Data Extraction & Transformation"
framework: "MCP"
tool_ecosystem:
  github_repo: "kreuzberg-dev/kreuzberg"
  github_stars: 7630
---

# Extract structured text, metadata, tables, and images from mixed documents through an MCP server with Kreuzberg

Expose one document-extraction surface to MCP-compatible agents so they can normalize PDFs, Office files, images, HTML, and other mixed inputs before downstream review or indexing.

## Prerequisites

Kreuzberg install or container image, document files to process, MCP-compatible client

## Installation

Use the upstream install or setup path that matches your environment:
- npx skills add kreuzberg-dev/kreuzberg

Requirements and caveats from upstream:
- <img src="https://img.shields.io/pypi/v/kreuzberg?label=Python&color=007ec6" alt="Python">
- <a href="https://www.npmjs.com/package/@kreuzberg/node">
- <img src="https://img.shields.io/npm/v/@kreuzberg/node?label=Node.js&color=007ec6" alt="Node.js">

Basic usage or getting-started notes:
- Each language binding provides comprehensive documentation with examples and best practices. Choose your platform to get started:
- **Scripting Languages:**
- **[Ruby](https://github.com/kreuzberg-dev/kreuzberg/tree/main/packages/ruby)** – RubyGems package, idiomatic Ruby API, native bindings

- Source: https://github.com/kreuzberg-dev/kreuzberg
- Extracted from upstream docs: https://raw.githubusercontent.com/kreuzberg-dev/kreuzberg/HEAD/README.md

## Documentation

- https://github.com/kreuzberg-dev/kreuzberg#readme

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/extract-structured-text-metadata-tables-and-images-from-mixed-documents-through-an-mcp-server-with-kreuzberg/)

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