MCP 服务器

Xberg MCP Server

MCP server that extracts clean text, tables, and structured data from documents, images, code, and audio files, supporting 97 formats with OCR, transcription, and code intelligence.

README

Xberg

Extract clean text, tables, and structured data from documents and code — no format detection, no OCR setup, no stitched-together libraries. One engine, 15 language bindings, runs anywhere.

Xberg is the next iteration of Kreuzberg. Same document-intelligence engine, rebuilt and rebranded under a fresh v1 line.

Feed documents → get clean text, tables, metadata, transcripts, code intelligence · Run it library, CLI, REST API, or MCP server · No GPU needed · Stream multi-GB files · Cache results.

Documents · Images · Spreadsheets · Email · Archives · Code · Audio · Video

Quick start · What you get · Capabilities · CLI · Docs

</div>

Feed any document—get structured text. Extract, batch, stream, or crawl.

What you get

Point Xberg at anything — a PDF, a spreadsheet, a scanned image, an audio file, 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.

What it does	How
Extract from 97 formats	PDFs, Office, images, HTML, email, archives, scientific publications, and code — intelligent MIME detection, streaming for large files.
6 output formats	Plain text, Markdown, Djot, HTML, JSON tree structure, or Structured (JSON with OCR metadata and bounding boxes).
Code intelligence	Functions, classes, imports, symbols, docstrings from 306 programming languages. Syntax-aware chunking for RAG pipelines.
Crawl & recurse	Follow URLs, extract documents from within documents (nested archives, embedded PDFs). Auto/Document/Crawl modes.
OCR on demand	Tesseract, PaddleOCR, Candle, or VLM backends — fallback chains, extensible via plugins. Confidence scores. Language auto-detection.
Transcription	Whisper ONNX for audio/video tracks (MP3, M4A, WAV, WebM, MP4).
Embeddings & search	Local (ONNX models) or provider-hosted (OpenAI, Anthropic, Google, 143 providers via liter-llm). Reranking.
Structured outputs	LLM-powered extraction — local (Ollama, LM Studio, vLLM) or remote (OpenAI, Anthropic, Google).
Enrichment	NER, redaction, summarization, translation, QR code detection, page classification, keyword extraction (YAKE/RAKE), language detection, layout detection, table extraction, token reduction (TOON).
Batch & parallel	Process 100s of documents in parallel. Per-file timeouts. Configurable batch concurrency (`max_concurrent_extractions`).
Caching	Content-hash cache keys — skip re-extraction when the file and config are unchanged.
Deployment	Library, CLI (12 commands), REST API (`xberg serve`), MCP server (9 tools, 3 prompts, 4 resources), Docker.

Installation

Language Packages

<details open> <summary>Python</summary>

pip install xberg

See Python README for full documentation.

</details>

<details> <summary>Node.js / TypeScript</summary>

npm install @xberg-io/xberg

See Node.js README for full documentation.

</details>

cargo add xberg

See Rust README for full documentation.

</details>

go get github.com/xberg-io/xberg

See Go README for full documentation.

</details>

Available on Maven Central as io.xberg:xberg. See Java README for the dependency snippet.

</details>

dotnet add package Xberg

See C# README for full documentation.

</details>

gem install xberg

See Ruby README for full documentation.

</details>

composer require xberg-io/xberg

See PHP README for full documentation.

</details>

<details> <summary>Elixir</summary>

Add {:xberg, "~> 1.0"} to your mix.exs dependencies. See Elixir README for full documentation.

</details>

<details> <summary>WebAssembly</summary>

npm install @xberg-io/xberg-wasm

See WebAssembly README for full documentation.

</details>

<details> <summary>Kotlin (Android)</summary>

Available on Maven Central as io.xberg:xberg-android. See Kotlin README for the dependency snippet.

</details>

<details> <summary>Swift</summary>

Add via Swift Package Manager. See Swift README for full documentation.

</details>

<details> <summary>Dart / Flutter</summary>

dart pub add xberg

See Dart README for full documentation.

</details>

Add via zig fetch. See Zig README for full documentation.

</details>

Build from source as part of this workspace. See C (FFI) README for full documentation.

</details>

CLI & Deployment

brew install xberg-io/tap/xberg

12 commands: extract, batch, detect, formats, version, cache (stats/clear/manifest/warm), serve, mcp, api, embed, chunk, completions.

See CLI usage guide for detailed documentation.

</details>

<details> <summary>Docker</summary>

docker pull ghcr.io/xberg-io/xberg:latest

Run in API, CLI, or MCP modes. See Docker guide for examples.

</details>

<details> <summary>REST API Server</summary>

xberg serve --host 0.0.0.0 --port 8000

One POST endpoint handles all formats. Returns JSON or Markdown. Stream large files. See API server guide.

</details>

<details> <summary>MCP Server</summary>

xberg mcp --transport stdio

9 tools (extract, extract_batch, detect_mime_type, cache_stats, list_formats, cache_clear, get_version, cache_manifest, cache_warm). 3 prompts (extract_document, extract_with_ocr, semantic_search). 4 resources (formats, models, OCR languages, embedding presets).

Add to Claude Desktop or Cursor:

{
  "mcpServers": {
    "xberg": { "command": "xberg", "args": ["mcp"] }
  }
}

See MCP integration guide.

</details>

AI Coding Assistants

Install the Xberg plugin from xberg-io/plugins. Ships extraction APIs, OCR backends, configuration, and language conventions.

<details open> <summary>Claude Code</summary>

/plugin marketplace add xberg-io/plugins
/plugin install xberg@xberg

</details>

<details> <summary>Codex CLI</summary>

/plugins add https://github.com/xberg-io/plugins

Search for xberg and select Install Plugin.

</details>

<details> <summary>Cursor</summary>

Settings → Plugins → Add from URL → https://github.com/xberg-io/plugins, then select xberg.

</details>

<details> <summary>Gemini CLI</summary>

gemini extensions install https://github.com/xberg-io/plugins

</details>

<details> <summary>Factory Droid</summary>

droid plugin marketplace add https://github.com/xberg-io/plugins
droid plugin install xberg@xberg

</details>

<details> <summary>GitHub Copilot CLI</summary>

copilot plugin marketplace add https://github.com/xberg-io/plugins
copilot plugin install xberg@xberg

</details>

<details> <summary>opencode</summary>

Add to opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "plugin": ["@xberg-io/opencode-xberg"]
}

</details>

Quick Start

Extract text from a document:

use xberg::{extract, ExtractInput, ExtractionConfig};

#[tokio::main]
async fn main() -> xberg::Result<()> {
    let config = ExtractionConfig::default();
    let output = extract(
        ExtractInput::from_uri("document.pdf"),
        &config
    ).await?;

    println!("{}", output.results[0].content);
    Ok(())
}

Common use cases — see Quick start guide for language-specific examples, OCR, batch processing, and API configuration.

Capabilities

<details> <summary>Full feature list</summary>

Supported File Formats (96)

97 file formats across 8 major categories with intelligent format detection and comprehensive metadata extraction.

Office Documents

Category	Formats	Capabilities
Word Processing	`.docx`, `.docm`, `.doc`, `.dotx`, `.dotm`, `.dot`, `.odt`, `.pages`	Full text, tables, images, metadata, styles
Spreadsheets	`.xlsx`, `.xlsm`, `.xlsb`, `.xls`, `.xla`, `.xlam`, `.xltm`, `.xltx`, `.xlt`, `.ods`, `.numbers`	Sheet data, formulas, cell metadata, charts
Presentations	`.pptx`, `.pptm`, `.ppt`, `.ppsx`, `.potx`, `.potm`, `.pot`, `.odp`, `.key`	Slides, speaker notes, images, metadata
PDF	`.pdf`	Text, tables, images, metadata, OCR support
eBooks	`.epub`, `.fb2`	Chapters, metadata, embedded resources
Database	`.dbf`	Table data extraction, field type support
Hangul	`.hwp`, `.hwpx`	Korean document format, text extraction

Images (OCR-Enabled)

Category	Formats	Features
Raster	`.png`, `.jpg`, `.jpeg`, `.gif`, `.webp`, `.bmp`, `.tiff`, `.tif`	OCR, table detection, EXIF metadata, dimensions, color space
Advanced	`.jp2`, `.jpx`, `.jpm`, `.mj2`, `.jbig2`, `.jb2`, `.pnm`, `.pbm`, `.pgm`, `.ppm`	OCR via pure-Rust JPEG2000 decoder, JBIG2 support, table detection
HEIC family	`.heic`, `.heics`, `.heif`, `.avif`, `.avcs`	EXIF metadata, optional pixel decoding
Vector	`.svg`	DOM parsing, embedded text, graphics metadata

Audio & Video

Category	Formats	Features
Audio	`.mp3`, `.mpga`, `.m4a`, `.wav`, `.webm`	Whisper transcription
Video audio track	`.mp4`, `.mpeg`, `.webm`	Audio-track transcription only

Web & Data

Category	Formats	Features
Markup	`.html`, `.htm`, `.xhtml`, `.xml`, `.svg`	DOM parsing, metadata (Open Graph, Twitter Card), link extraction
Structured Data	`.json`, `.yaml`, `.yml`, `.toml`, `.csv`, `.tsv`	Schema detection, nested structures, validation
Text & Markdown	`.txt`, `.md`, `.markdown`, `.djot`, `.mdx`, `.rst`, `.org`, `.rtf`	CommonMark, GFM, Djot, MDX, reStructuredText, Org Mode

Email & Archives

Category	Formats	Features
Email	`.eml`, `.msg`, `.pst`	Headers, body (HTML/plain), attachments, threading
Archives	`.zip`, `.tar`, `.tgz`, `.gz`, `.7z`	File listing, nested archives, metadata, recursive extraction

Academic & Scientific

Category	Formats	Features
Citations	`.bib`, `.ris`, `.nbib`, `.enw`	Structured parsing: RIS, PubMed/MEDLINE, EndNote XML, BibTeX/BibLaTeX
Scientific	`.tex`, `.latex`, `.typ`, `.typst`, `.jats`, `.ipynb`	LaTeX, Typst, Jupyter notebooks, PubMed JATS
Publishing	`.fb2`, `.docbook`, `.dbk`, `.docbook4`, `.docbook5`, `.opml`	FictionBook, DocBook XML, OPML outlines

Code Intelligence (306 Languages)

Extract structure from 306 programming languages via tree-sitter:

Feature	Description
Structure Extraction	Functions, classes, methods, structs, interfaces, enums
Import/Export Analysis	Module dependencies, re-exports, wildcard imports
Symbol Extraction	Variables, constants, type aliases, properties
Docstring Parsing	Google, NumPy, Sphinx, JSDoc, RustDoc, and 10+ formats
Syntax-Aware Chunking	Split code by semantic boundaries for RAG pipelines
Diagnostics	Parse errors with line/column positions

Output Formats (6)

Format	Use case	Example
Plain	Raw text, no markup	`"Chapter 1\nIntroduction"`
Markdown	Readable, structured, RAG-friendly	`"# Chapter 1\n## Introduction"`
Djot	Modern lightweight markup	Similar to Markdown but stricter
HTML	Styled, browser-ready	`<h1>Chapter 1</h1>`
JSON	Machine-readable tree structure	Hierarchical sections with heading levels
Structured	OCR metadata, bounding boxes	JSON with `elements[]` containing `{text, bbox, confidence}`

Deployment Modes

Mode	Command	Transport	Use case
Library	`xberg::extract()`	Async functions	Embed in your application
CLI	`xberg extract document.pdf`	12 commands	Scripts, batch jobs, CI/CD
REST API	`xberg serve`	HTTP POST	Microservice, serverless deployment
MCP Server	`xberg mcp`	stdio or HTTP	Claude, Cursor, IDE agents
Docker	`docker run ghcr.io/xberg-io/xberg`	All modes	Container deployment

OCR Backends

Tesseract — Native C FFI (Linux/macOS/Windows) and WASM (browser)
PaddleOCR — ONNX Runtime, mobile-optimized models
Candle — Pure Rust, CPU-only, lightweight
VLM — GPT-4 Vision, Claude Vision, Gemini Vision, or 143 providers via liter-llm

Fallback chains. Extensible via plugin system.

Embeddings

Local (ONNX Runtime):

Preset models: fast, balanced (default), quality, multilingual
Dimensions: 384, 768, 1024

Provider-hosted:

OpenAI, Anthropic, Google, Hugging Face, Mistral, Cohere, and 143 providers total
Via liter-llm integration

Reranking:

Local ONNX rerankers (cross-encoder models)
Provider-hosted: Cohere Rerank, others

Structured LLM Extraction

Local engines: Ollama, LM Studio, vLLM

Remote: OpenAI, Anthropic, Google, Mistral, Cohere, and 143 providers via liter-llm

Schema validation. Temperature, top-p, frequency penalty tuning.

Enrichment

NER — GLiNER or LLM-based entity recognition
Redaction — Mask PII (phone, email, SSN, credit card, addresses)
Summarization — Document and section summaries via LLM
Translation — Multi-language via LLM
Page Classification — Tag document pages (cover, toc, content, etc.)
QR Code Detection — Extract and decode QR codes from images
Keyword Extraction — YAKE or RAKE algorithms
Language Detection — Detect document language
Layout Detection — RT-DETR + TATR models for document structure
Table Extraction — Cell-level structure and content
Token Reduction — TOON wire format (~30–50% fewer tokens than JSON)

</details>

CLI Reference

<details> <summary>All 12 commands</summary>

Command	Subcommands	Purpose
`extract`	—	Extract text from a single document (path, URL, or stdin)
`batch`	—	Extract from multiple documents in parallel
`detect`	—	Identify MIME type of a file
`formats`	—	List all 97 supported formats and MIME types
`version`	—	Show Xberg version
`cache`	`stats`, `clear`, `manifest`, `warm`	Manage extraction cache and models
`serve`	—	Start REST API server (default: http://127.0.0.1:8000)
`mcp`	—	Start MCP server (stdio or HTTP transport)
`api`	`schema`	Output OpenAPI 3.1 specification
`embed`	—	Generate embeddings for text (local or provider-hosted)
`chunk`	—	Split text into chunks (text, markdown, YAML, or semantic)
`completions`	—	Generate shell completion scripts

Run xberg --help or xberg <command> --help for detailed options.

</details>

Documentation

Full guides, API references for every binding, format reference, and configuration docs live at xberg.io.

Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

Join our Discord community for questions and discussion.

Part of Xberg.dev

Xberg is one of six open-source projects from Kreuzberg, Inc.:

Xberg — document intelligence: text, tables, metadata from 91+ formats with optional OCR.
Xberg Enterprise — managed extraction API with SDKs, dashboards, and observability.
crawlberg — web crawling and scraping with HTML→Markdown and headless-Chrome fallback.
html-to-markdown — fast, lossless HTML→Markdown engine.
liter-llm — universal LLM API client with native bindings for 14 languages and 143 providers.
tree-sitter-language-pack — tree-sitter grammars and code-intelligence primitives.
alef — the polyglot binding generator that produces every per-language binding across the 5 polyglot repos.

License

MIT License (MIT) — see LICENSE for details.

Xberg MCP Server

README

Xberg

What you get

Installation

Language Packages

CLI & Deployment

AI Coding Assistants

Quick Start

Capabilities

Supported File Formats (96)

Office Documents

Images (OCR-Enabled)

Audio & Video

Web & Data

Email & Archives

Academic & Scientific

Code Intelligence (306 Languages)

Output Formats (6)

Deployment Modes

OCR Backends

Embeddings

Structured LLM Extraction

Enrichment

CLI Reference

Documentation

Contributing

Part of Xberg.dev

License

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