Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fifteen bindings, with CLI, REST API, and MCP server.
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Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fift
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Xberg need an API key?
No required environment variable is listed on this record.
What transport does Xberg use?
Xberg runs locally over stdio.
When was Xberg last checked?
Last checked 2026-11-08. Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fifteen bindings, with CLI, REST API, and MCP server.
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From the publisher
Documentation
Xberg
The fast, precise document-intelligence engine — for every language.
Point Xberg at anything — a PDF, a scanned image, a spreadsheet, an audio file, a URL, a whole archive, or a source tree — and get back clean text, tables, metadata, and structured data. One engine handles format detection, reading, OCR, and extraction, so you never stitch a pipeline together from a dozen libraries.
Xberg is the next iteration of Kreuzberg. Same document-intelligence engine, rebuilt and rebranded under a fresh v1 line.
Key features
01. Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages
02. Fifteen bindings, with CLI, REST API, and MCP server
03. <!-- This file is auto-generated by alef — DO NOT EDIT
Point Xberg at anything — a PDF, a spreadsheet, a scanned image, an audio file, a URL, an archive, a source tree — and get back clean, structured content you can use right away. One core does the format detection, reading, and extraction, so you don't assemble a pipeline yourself. Call it from Rust, Python, Node.js, Go, Java, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, WASM, Kotlin, or C FFI, and run it as a library, CLI tool, REST API, or MCP server.
Capability
What you get
107 document formats
PDFs, Office, images, HTML, email, e-books, scientific publications, and structured data across 141 file extensions, with intelligent MIME detection and bounded extraction controls.
URLs & the web
Point Xberg at an http(s) URL — it fetches and extracts a single document, or crawls and follows links (Auto / Document / Crawl modes via the crawlberg engine). Requires the url-ingestion feature.
Audio & video transcription
Speech-to-text from MP3, M4A, WAV, WebM, and MP4 tracks via Whisper ONNX (tiny → large-v3). Requires the transcription feature.
Archives, traversed
List and recursively extract nested .zip, .tar, .gz, .7z — documents inside documents — guarded by zip-bomb, compression-ratio, and nesting-depth limits.
OCR on demand
Tesseract, PaddleOCR, Candle, or VLM backends — fallback chains, confidence scores, language auto-detection, extensible via plugins.
Layout & tables
ML layout models (PP-DocLayout-V3, RT-DETR) and table structure (TATR, SLANet) reconstruct reading order and cell grids for clean Markdown.
Code intelligence
Functions, classes, imports, symbols, docstrings from 371 programming languages. Syntax-aware chunking for RAG pipelines.
Embeddings & search
Local (ONNX) or provider-hosted embeddings (165 providers via liter-llm), sparse and late-interaction, cross-encoder reranking.
Enrichment
NER, keyword extraction (YAKE/RAKE), summarization, translation, redaction, page classification, QR detection, language detection, token reduction (TOON).
Structured extraction
Schema-driven JSON straight from any document via local (Ollama, LM Studio, vLLM) or hosted LLMs — no prompt engineering.
6 output formats
Plain text, Markdown, Djot, HTML, JSON tree, or Docling DocTags, plus registered custom renderers.
Runs anywhere
Library, CLI (14 commands), REST API (xberg serve), MCP server, Docker, Helm — CPU by default, no GPU required. Content-hash caching, parallel batch, per-file timeouts.
Capabilities marked requires a feature are Cargo feature flags on the core crate (url-ingestion, transcription, reranker, layout/ORT). Prebuilt language packages and the Docker image bundle the common set; a from-source build enables only what you select.
Installation
Language Packages
pip install xberg
For archived versions and the PyPI storage fallback:
Install the Xberg plugin from xberg-io/xberg. Ships extraction APIs, OCR backends, configuration, and language conventions.
The bundle targets Claude Code, Codex, Cursor, Gemini CLI, Kimi, OpenCode, Factory Droid,
Hermes, Pi, Agent Plugins and GitHub Copilot CLI. Read the plugin guide
for runtime resources, CLI prerequisites and configuration. MCP-capable adapters expose the
product's tools; Hermes uses a local stdio bridge and explicitly selected skills. Pi loads
skills and prompt templates and requires the product CLI for executable operations.
Install only the public Agent Skills,
without a plugin or MCP registration, using the skills CLI:
After the next plugin release, install the same package used by OpenCode:
pi install npm:@xberg-io/opencode-xberg
Pi loads the bundled skills and prompt templates. Use /xberg-extract and /xberg-ocr
to start a task. Install the CLI separately as
shown in the plugin README.
This package does not register MCP servers, hooks, or executable extensions in Pi.
107 formats across 140 unique file extensions, with 56 compatibility MIME aliases, intelligent format detection, and comprehensive metadata extraction.
Projects that declare Xberg as a dependency. Xberg was previously published as kreuzberg, and most of these projects declare the package under that name.
Xberg — the open-source content-intelligence engine: text, tables, and metadata from 107 formats (141 file extensions), with OCR, transcription, and code intelligence. MIT.
Xberg Pro — a complete self-hosted content-intelligence backend in a single container. Commercial.
Xberg Enterprise — the distributed, governed content-intelligence platform, scaled on Kubernetes with team governance and support. Commercial.
crawlberg — web crawling and scraping with HTML→Markdown and headless-Chrome fallback.
