Marmot Data Catalog MCP Server

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

Local serverstdio

What is the Marmot Data Catalog MCP server?

Open-source data catalog. Search assets, explore lineage, and find ownership. That is what the marmot data catalog mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

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.

  • 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

Getting it running

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

The tools it exposes

The server publishes 8 tools. What each one is for:

  • Metadata-first — Store rich metadata for any asset type, from tables and topics to APIs and dashboards
  • AI-ready — Expose certified context through MCP, the API and the UI
  • Feature — Benefit
  • Metadata-First — Store rich metadata for any asset type (tables, topics, APIs, dashboards)
  • AI-Ready — Expose certified context through MCP, API, and UI
  • Method — Description
  • Resource — Link
  • Documentationmarmotdata.io/docs

Things to watch

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.

How it compares

Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Marmot Data Catalog's toolset — Metadata-first, AI-ready, Feature and 5 more — is a fair guide to whether it matches your workflow. It is maintained by marmotdata; worth a glance at recent repository activity before you build anything load-bearing on it.

SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.

Available tools

ToolWhat it does
Metadata-firstStore rich metadata for any asset type, from tables and topics to APIs and dashboards.
AI-readyExpose certified context through MCP, the API and the UI.
FeatureBenefit
Metadata-FirstStore rich metadata for any asset type (tables, topics, APIs, dashboards)
AI-ReadyExpose certified context through MCP, API, and UI
MethodDescription
ResourceLink
Documentation[marmotdata.io/docs](https://marmotdata.io/docs/introduction)

Example prompts to try

  • Use Marmot Data Catalog to Metadata-first.
  • Use Marmot Data Catalog to AI-ready.
  • Use Marmot Data Catalog to Feature.

Frequently asked questions

It connects Marmot Data Catalog to MCP-compatible AI assistants such as Claude and Cursor, exposing 8 tools (Metadata-first, AI-ready, Feature, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Marmot Data Catalog directly.