Connects Claude to your Marmot data catalog instance via streamable HTTP, letting the AI search across tables, topics, queues, and APIs cataloged in your system. Useful when you want Claude to answer questions about what data assets exist, trace lineage between datasets, or look up ownership and documentation without leaving the conversation. Since Marmot stores rich metadata and runs as a single binary, this works well for teams who've already deployed it and want their AI to reference the same catalog humans use. Point it at your Marmot instance and Claude can query the same search, lineage, and ownership APIs exposed through the v1 MCP endpoint.
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.
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.
New to Marmot? Follow the Deploy documentation for a guided setup, or try the live demo.
See Local Development for how to get started developing locally.
Join our Discord community for help, feedback and updates on new features.
All types of contributions are encouraged and valued!
Before contributing, please check out the Contributing Guide.
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.
| Feature | Benefit |
|---|---|
| Search Everything | Find any data asset in seconds with full-text search, structured queries, boolean logic, and metadata filters |
| Interactive Lineage | Trace data flows from source to destination, analyze impact before making changes |
| Metadata-First | Store rich metadata for any asset type (tables, topics, APIs, dashboards) |
| Team Collaboration | Assign ownership, document business context, maintain shared glossaries |
| AI-Ready | Expose certified context through MCP, API, and UI |
| Single Binary | No complex infrastructure required, deploy in minutes |
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.
Marmot supports cataloging various data asset types through its plugin system:
Quick Start Options:
| Method | Description |
|---|---|
| Documentation Guide | Follow the Deploy guide for step-by-step setup |
| Live Demo | Try the live demo before deploying |
| Single Binary | Download and run the single binary for your platform |
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.
All contributions are welcome:
| Resource | Link |
|---|---|
| Documentation | marmotdata.io/docs |
| Discord Community | Join Discord |
| GitHub Issues | Report issues |
| Live Demo | Try demo |
Marmot is open-source software licensed under the MIT License.
com.mcparmory/google-search
io.github.pipeworx-io/brave-search
marcopesani/mcp-server-serper
brave/brave-search-mcp-server
com.mcparmory/google-search-console
acamolese/google-search-console-mcp