AI Skill Hub 强烈推荐:OpenMetadata MCP工具 是一款优质的AI工具。在 GitHub 上收获超过 13.9k 颗 Star,AI 综合评分 8.2 分,在同类工具中表现稳健。如果你正在寻找可靠的AI工具解决方案,这是一个值得深入了解的选择。
统一的元数据管理平台,支持数据发现、数据可观测性和数据治理。提供数据目录、血缘追踪、数据合约等功能,适合数据团队进行元数据管理和数据协作,是构建现代数据治理体系的关键基础设施。
OpenMetadata MCP工具 是一款基于 TypeScript 开发的开源工具,专注于 元数据管理、数据治理、数据发现 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
统一的元数据管理平台,支持数据发现、数据可观测性和数据治理。提供数据目录、血缘追踪、数据合约等功能,适合数据团队进行元数据管理和数据协作,是构建现代数据治理体系的关键基础设施。
OpenMetadata MCP工具 是一款基于 TypeScript 开发的开源工具,专注于 元数据管理、数据治理、数据发现 等核心功能。作为 GitHub 开源项目,它拥有活跃的社区支持和持续的版本迭代,代码完全透明可审计,支持本地部署以保护数据隐私。无论是个人使用还是集成到企业工作流,都能提供稳定可靠的解决方案。
# 方式一:npm 全局安装 npm install -g openmetadata # 方式二:npx 直接运行(无需安装) npx openmetadata --help # 方式三:项目依赖安装 npm install openmetadata # 方式四:从源码运行 git clone https://github.com/open-metadata/OpenMetadata cd OpenMetadata npm install npm start
# 命令行使用
openmetadata --help
# 基本用法
openmetadata [options] <input>
# Node.js 代码中使用
const openmetadata = require('openmetadata');
const result = await openmetadata.run(options);
console.log(result);
# openmetadata 配置说明 # 查看配置选项 openmetadata --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量(覆盖配置文件) export OPENMETADATA_CONFIG="/path/to/config.yml"
<br /><br /> <p align="center"> <a href="https://open-metadata.org"> <img alt="Logo" src="https://github.com/open-metadata/OpenMetadata/assets/40225091/e794ced8-7220-4393-8efc-3faf93bfb503" width="49%"> </a> </p>
<p align="center"><b>Empower your Data Journey with OpenMetadata</b></p>
</div>
Follow the installation guide:
Add the operational and trust metadata AI needs:
Use the AI SDK to connect any LLM to OpenMetadata’s MCP tools.
AI SDK documentation:
https://docs.open-metadata.org/v1.12.x/api-reference/sdk/ai-sdk
---
After connecting an MCP client, try prompts such as:
What is the definition of the Revenue metric?
Show me the lineage of the data feeding the Executive Revenue dashboard.
Who owns the Customer 360 data product and when was it last updated?
Find tables related to customer purchase behavior and transaction history.
Which downstream dashboards are affected if this column changes?
Create a glossary term for Net Retention and link it to related metrics.
---
Developers can use OpenMetadata’s AI SDK to build custom AI applications that use OpenMetadata MCP tools programmatically.
The AI SDK enables AI applications to use OpenMetadata context from Python, TypeScript, and Java.
OpenMetadata exposes APIs, events, and webhooks so teams can automate metadata workflows across their data ecosystem.
Use them to:
https://<YOUR-OPENMETADATA-SERVER>/mcp
Connect coding agents to OpenMetadata so they can understand schemas, owners, lineage, business definitions, and quality requirements before generating code, queries, dbt models, tests, or migration plans.
Example:
Generate a dbt model for this customer table and include tests based on OpenMetadata quality expectations.
---
OpenMetadata consists of five core layers:
1. Open Metadata Standards Canonical schemas, APIs, RDF/OWL ontologies, SHACL shapes, JSON-LD contexts, and event models for metadata interoperability.
2. Metadata Store and Knowledge Graph A central repository that stores and connects metadata entities, relationships, quality signals, usage, lineage, ownership, and semantics.
3. Ingestion Framework and Connectors A pluggable framework for collecting metadata from databases, warehouses, dashboards, pipelines, messaging systems, ML platforms, storage systems, APIs, and more.
4. APIs, Search, Events, and Webhooks Interfaces for consuming, updating, searching, subscribing to, and automating metadata.
5. MCP and AI SDK AI-facing tools that expose OpenMetadata context and semantics to assistants, coding agents, and custom LLM applications.
---
OpenMetadata documentation includes setup guides for:
Codex and other MCP-compatible coding agents can use the OpenMetadata MCP endpoint as an external context and tool server.
Get started: OpenMetadata MCP Server Documentation
成熟的开源元数据平台,功能完整、生态活跃,13.9k星标验证其价值。适合构建企业级数据治理基础,但部署和集成需要一定技术积累。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
✅ Apache 2.0 — 宽松开源协议,可商用,需保留版权声明和 NOTICE 文件,含专利授权条款。
总体来看,OpenMetadata MCP工具 是一款质量优秀的AI工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | OpenMetadata |
| 原始描述 | 开源MCP工具:OpenMetadata is a unified metadata platform for data discovery, data observabili。⭐13.9k · TypeScript |
| Topics | 元数据管理数据治理数据发现数据目录MCP工具 |
| GitHub | https://github.com/open-metadata/OpenMetadata |
| License | Apache-2.0 |
| 语言 | TypeScript |
收录时间:2026-05-13 · 更新时间:2026-05-16 · License:Apache-2.0 · AI Skill Hub 不对第三方内容的准确性作法律背书。