---
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.

## 说明与用途

**项目简介（2‑3 句）**
xberg‑io/xberg 是一个以 Rust 为核心的多语言文档智能框架，能够从 PDF、Office、图片等 97+ 种文件格式中提取文本、元数据、图片和结构化信息。它提供 Rust、Python、Ruby、Java、Go、PHP、Elixir、C#、R、C、TypeScript（Node/Bun/Wasm/Deno）等多语言 SDK，亦可通过 CLI、REST API 或 MCP 服务器使用。

**价值**

- 为 AI 助手提供统一、可靠的文档解析能力，使其能够直接访问真实的业务数据和工具。
- 通过标准化的 Model Context Protocol（MCP）让不同语言和平台的服务快速对接，降低集成成本。
- 高性能的 Rust 实现保证了大规模文档处理的吞吐与低延迟，适合搜索、RAG、知识库构建等场景。

**典型接入方式**

- **语言 SDK**：在业务代码中直接调用对应语言的库（如 `xberg-py`、`xberg-go` 等），获取结构化抽取结果。
- **CLI**：在 CI/CD、批处理或本地调试时使用 `xberg` 命令行工具进行文件批量解析。
- **REST API**：部署 xberg 的 HTTP 服务，其他系统通过 HTTP 请求获取解析结果，适合微服务或前后端分离的架构。
- **MCP 服务器**：运行官方提供的 Model Context Protocol 服务器，让 AI 大模型通过统一协议调用文档解析功能，特别适合构建“AI + 工具”型应用。

**生产可用性**

- **活跃度**：截至 2026‑06‑25，项目仍在积极维护，最近一次提交仅数天前。
- **社区规模**：拥有 8 548+ ⭐、504+ 🍴，说明已有相当规模的使用者和贡献者。
- **技术成熟度**：核心采用 Rust，提供多语言绑定和多种部署方式，已在多个开源和商业项目中验证。
- **安全与合规**：暂无重大元数据泄露风险，仍需进一步审查许可证（MIT/Apache 双授权）和安全审计报告。
- **综合评估**：在 OSS 候选中属于 **高可用** 级别，完全可以用于生产环境的试点或正式上线，只需在正式部署前完成安全审计和运维监控配置。

## 实际用途

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

## 限制与审查说明

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

- 来源: github
- 语言: Rust

[原始来源](https://github.com/xberg-io/xberg)

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