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  3. Marmot Data Catalog
Marmot Data Catalog logo
Health: ActiveRecent health check succeeded.Last checked 9/7/2026, 9:29:40 PM

Marmot Data Catalog

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository611 GitHub StarsTotal stargazers on GitHub for the source repository (611 stars).Visit Website

Open-source data catalog. Search assets, explore lineage, and find ownership.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "marmot-data-catalog": {
      "url": "https://marmotdata.io/docs/introduction"
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

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.

Documentation β€’ Deploy β€’ Community

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.

Watch the Marmot demo on YouTube

β–Ά Watch the 2-minute demo

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.
Marmot context layer showing plugins, integrations and AI agents

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?

FeatureBenefit
Search EverythingFind any data asset in seconds with full-text search, structured queries, boolean logic, and metadata filters
Interactive LineageTrace data flows from source to destination, analyze impact before making changes
Metadata-FirstStore rich metadata for any asset type (tables, topics, APIs, dashboards)
Team CollaborationAssign ownership, document business context, maintain shared glossaries
AI-ReadyExpose certified context through MCP, API, and UI
Single BinaryNo complex infrastructure required, deploy in minutes

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:

MethodDescription
Documentation GuideFollow the Deploy guide for step-by-step setup
Single BinaryDownload and run the single binary for your platform

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?

ResourceLink
Documentationmarmotdata.io/docs
Discord CommunityJoin Discord
GitHub IssuesReport issues

License

Marmot is open-source software licensed under the MIT License.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Marmot Data Catalog

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "marmot-data-catalog": { "command": "npx", "args": ["-y", "Marmot Data Catalog"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSSE (Remote)
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars611
GitHub Star CountTotal stargazers on GitHub representing community popularity (611 stars).
41Quality signal: Fair Β· 41/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools15/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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