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Model Context Protocol (MCP)

Marmot includes a built-in Model Context Protocol (MCP) server that enables AI assistants like Claude, ChatGPT and other LLM-powered tools to interact with your data catalog using natural language.

What is MCP?

The Model Context Protocol is a standardised way for AI assistants to connect with external data sources - like a universal translator between AI models and your data.

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What Can You Do?​

With MCP, you can ask questions like:

  • "What tables does the analytics team own?"
  • "Show me all BigQuery datasets tagged as 'production'"
  • "Find the upstream dependencies for the user_events table"
  • "Who owns the payment processing API?"

Search Assets

Query your catalog using natural language

View Lineage

Explore upstream and downstream dependencies

Read Metadata

Access descriptions, owners, tags and custom metadata

Discover Context

Understand relationships between assets

Choose Your AI Assistant​

Claude Desktop

Anthropic's official desktop application

Claude Code

Claude's command-line interface

Cursor

The AI-first code editor

Cline

VS Code extension for AI-powered coding

LibreChat

Universal AI chat interface supporting multiple providers

Authentication​

MCP uses the same authentication as Marmot's REST API. You'll need an API key to connect:

  1. Navigate to your user profile in Marmot
  2. Go to Settings → API Keys
  3. Generate a new API key
  4. Use this key in your MCP client configuration

The AI assistant will have the same permissions as your user account, respecting all role-based access controls.

Available Tools​

Marmot's MCP server provides these tools to AI assistants:

discover_data​

Unified data discovery for finding any asset in the catalog. Supports natural language queries, specific lookups by ID or MRN (qualified identifiers like postgres://db/schema/table), filtering by type/provider/tags and metadata-based queries.

find_ownership​

Bidirectional ownership queries to answer "Who owns this asset?", "What does this user own?" and "Show me all data owned by the data-eng team". Works for both data assets and glossary terms.

lookup_term​

Business glossary lookups for understanding terminology and definitions. Search for glossary terms by name or retrieve specific term definitions.

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