
本页由 AI 翻译,技术细节请以原文为准。 查看原文
acryldata/mcp-server-datahub 是从 https://github.com/acryldata/mcp-server-datahub. 导入的 MCP 服务器候选
概览
acryldata/mcp-server-datahub 是从 https://github.com/acryldata/mcp-server-datahub. 导入的 MCP 服务器候选
概述(AI 翻译)
DataHub 的模型上下文协议服务器实现。
什么是DataHub?
DataHub 是一个开源上下文平台,为组织在整个数据供应链中提供统一的视线。DataHub 将数据发现、治理和可观察性统一到一个平台,涵盖每个表格、列、仪表盘流水线、文档和机器学习模型。
DataHub 拥有强大的数据分析、数据质量监控、数据沿袭、数据所有权和数据分类等功能,整合了技术与组织背景,使团队能够找到、创建、使用和维护可信数据。
使用场景
DataHub MCP 服务器使 AI 代理能够:
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寻找可信数据:利用自然语言在整个数据领域搜索,找到能够回答最关键问题的表格、列、仪表盘和指标。利用数据的信任信号,如数据的受欢迎程度、质量、沿革和查询历史,确保每次都准确无误。
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探索数据沿袭并规划数据变更:通过丰富的资产和列级数据沿袭,了解重要数据变更影响下游用户之前的影响。
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
DataHub MCP Server
A Model Context Protocol server implementation for DataHub.
What is DataHub?
DataHub is an open-source context platform that gives organizations a single pane of glass across their entire data supply chain. DataHub unifies data discovery, governance, and observability under one roof for every table, column, dashboard pipeline, document, and ML Model.
With powerful features for data profiling, data quality monitoring, data lineage, data ownership, and data classification, DataHub brings together both technical and organizational context, allowing teams to find, create, use, and maintain trustworthy data.
Use Cases
The DataHub MCP Server enables AI agents to:
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Find trustworthy data: Search across the entire data landscape using natural language to find the tables, columns, dashboards, & metrics that can answer your most mission-critical questions. Leverage trust signals like data popularity, quality, lineage, and query history to get it right, every time.
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Explore data lineage & plan for data changes: Understand the impact of important data changes before they impact your downstream users through rich data lineage at the asset & column level.
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Understand your business: Navigate important organizational context like business glossaries, data domains, data products products, and data assets. Understand how key metrics, business processes, and data relate to one another.
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Explain & generate SQL queries: Generate accurate SQL queries to answer your most important questions with the help of critical context like data documentation, data lineage, and popular queries across the organization.
Why DataHub MCP Server?
With DataHub MCP Server, you can instantly give AI agents visibility into of your entire data ecosystem. Find and understand data stored in your databases, data lake, data warehouse, and BI visualization tools. Explore data lineage, understand usage & use cases, identify the data experts, and generate SQL - all through natural language.
Structured Search with Context Filtering
Go beyond keyword matching with powerful query & filtering syntax:
- Wildcard matching:
/q revenue_*findsrevenue_kpis,revenue_daily,revenue_forecast - Field searches:
/q tag:PIIfinds all PII-tagged data - Boolean logic:
/q (sales OR revenue) AND quarterlyfor complex queries
SQL Intelligence & Query Generation
Access popular SQL queries, and generate new ones with accuracy:
- See how analysts query tables (perfect for SQL generation)
- Understand join patterns and common filters
- Learn from production query patterns
Table & Column-Level Lineage
Trace data flow at both the table and column level:
- Track how
user_idbecomescustomer_keydownstream - Understand transformation logic
- Upstream and downstream exploration (1-3+ hops)
安装
uvx mcp-server-datahub