---
title: "xberg-io/xberg | Repository | AtlasRepo"
description: "Catalog record for xberg-io/xberg. Inspect the source, license, requirements and unknowns before choosing."
image: "https://atlasrepo.com/og/atlasrepo.png?v=folded-map-20261108"
---

[AtlasRepo](/catalog)

# xberg-io/xberg

## Evidence and unknowns

**Evidence scope:** Catalog metadata only. Documentation review, source inspection and execution are not established by this record.

**Verification date:** Not provided

**Verification freshness and method:** No dated verification supplied.

**Catalog record date:** 2026-06-25

**Repository update date:** 2026-09-05

**Freshness:** Record older than 30 days. Recheck upstream.

**License identifier:** Not provided

**Requirements reported by catalog:** Looks straightforward to evaluate: it exposes implementation signals such as API/SDK/CLI, language metadata, or focused topics.

**Limitations reported by catalog:** No major metadata risk found, but license, security posture, and active maintainers still need final review.

[Inspect the primary source](https://github.com/xberg-io/xberg)

License source not supplied. Check the license and terms upstream.

Catalog descriptions and adoption notes are unverified reports. They do not establish a source review or a successful run. Confirm the license and requirements upstream.

## Описание и применение

xberg‑io/xberg — многоязычный фреймворк документальной интеллигенции с ядром на Rust, позволяющий быстро извлекать текст, метаданные, изображения и структурированные данные из PDF, офисных файлов, изображений и более чем 97 форматов; SDK и CLI доступны для десятков языков (Rust, Python, Java, Go и др.) и через REST/MCP‑сервер. Типичный сценарий — подключение AI‑агентов к реальным инструментам и данным через единый протокол (Model Context Protocol), что упрощает построение RAG‑систем, автоматизацию документооборота и интеграцию в микросервисы. Проект имеет высокую готовность к production: активные коммиты, более 8 500 звёзд, широкое сообщество и поддержка множества языков, хотя окончательная проверка лицензии и безопасности всё‑ещё требуется.

## Применение в работе

xberg-io/xberg helps connect AI assistants to real tools and data through a standard protocol.

- connect AI agents to tools
- ship Model Context Protocol servers
- standardize integrations

## Ограничения и замечания

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

- Источник: github
- Язык: Rust

[Первоисточник](https://github.com/xberg-io/xberg)

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