
Marmot Data Catalog
io.github.marmotdata由 GitHub 帳號 marmotdata 發布v1.0.0更新於 Oct 24, 2026
Open-source data catalog. Search assets, explore lineage, and find ownership.
概覽
Marmot Data Catalog 透過 MCP 開放開源資料目錄,讓助理搜尋資料資產、檢視血緣關係並查找歸屬資訊。
- 可以做什麼
- 以全文搜尋、結構化查詢、布林邏輯和中繼資料篩選來搜尋資料資產,涵蓋資料表、主題、佇列、API 和儀表板。追蹤從來源到目標的互動式血緣關係,並在變更前評估影響。查詢歸屬、業務背景和共用詞彙表項目。讀取任意已編目資產類型的豐富中繼資料,使回答基於真實目錄脈絡而非猜測。
- 適用情境
- 適合已部署 Marmot 目錄的團隊,讓助理回答資料位於何處、如何流動或由誰負責等問題,而不是憑猜測描述資料環境。
- 執行需求
- 需可連線至設定主機上的 Marmot 遠端端點,透過 streamable HTTP 連線。需在 Marmot 介面 Settings > API Keys 產生的 API 金鑰,並透過 X-API-Key 標頭送出。需要到該端點的網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Marmot Data Catalog,將其新增到工作區。
- 連接 X-API-Key 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Marmot
Discover any data asset in seconds. Then let your AI do the same.
The open-source context layer for your AI. Catalog your tables, topics, queues and APIs then expose real metadata to your AI agents.
What is Marmot?
Marmot is an open-source data catalog for teams who want powerful data discovery without enterprise complexity. Catalog every data asset, enrich it with the context that matters and make it accessible to your team and your AI tools.
Unlike traditional catalogs that require extensive infrastructure and configuration, Marmot ships as a single binary with an intuitive UI, making it easy to deploy and start cataloging in minutes.
Features
- Search everything: Find any data asset in seconds with full-text search plus structured queries, boolean logic and metadata filters.
- Interactive lineage: Trace data flows from source to destination and analyse impact before making changes.
- Metadata-first: Store rich metadata for any asset type, from tables and topics to APIs and dashboards.
- Team collaboration: Assign ownership, document business context and maintain shared glossaries.
- AI-ready: Expose certified context through MCP, the API and the UI.
Deploy
New to Marmot? Follow the Deploy documentation for a guided setup.
Development
See Local Development for how to get started developing locally.
Community
Join our Discord community for help, feedback and updates on new features.
Contributing
All types of contributions are encouraged and valued!
- Report bugs or suggest features via GitHub Issues
- Improve documentation
- Build new plugins for data sources
Before contributing, please check out the Contributing Guide.
FAQ
What is Marmot?
Marmot is an open-source data catalog for teams who want powerful data discovery without enterprise complexity. It catalogs every data asset (tables, topics, queues, APIs), enriches it with context, and makes it accessible to both your team and AI tools. Unlike traditional catalogs requiring extensive infrastructure, Marmot ships as a single binary with an intuitive UI.
Why Use Marmot?
How Does Marmot Integrate with AI Agents?
Marmot exposes certified context through MCP (Model Context Protocol), enabling AI agents to query real metadata about your data assets. This allows AI tools to understand your data landscape, trace lineage, and make informed decisions based on actual metadata rather than guessing.
What Data Sources Can I Catalog?
Marmot supports cataloging various data asset types through its plugin system:
- Tables (databases, data warehouses)
- Topics (message queues, event streams)
- Queues (job queues, messaging systems)
- APIs (REST, GraphQL, internal services)
- Dashboards (visualization tools, BI platforms)
How Do I Deploy Marmot?
Quick Start Options:
Is Marmot Free?
Yes! Marmot is open-source software licensed under the MIT License. You can use, modify, and distribute it freely. Self-hosting is completely free with no licensing costs.
How Can I Contribute?
All contributions are welcome:
- Report bugs or suggest features via GitHub Issues
- Improve documentation (README, guides, API docs)
- Build new plugins for additional data sources
- Check the Contributing Guide before contributing
Where Can I Get Help?
License
Marmot is open-source software licensed under the MIT License.
來源:README.md,提交 7f04949
工具
0版本歷史
1- v1.0.0最新Sep 16, 2026
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