Iceberg MCP Server
Let your agent query and manage Apache Iceberg tables through MCP while you build analytics-backed or data-heavy product features.
Overview
Iceberg MCP Server is a MCP server for the Build phase that exposes Apache Iceberg table and catalog operations to coding agents.
What is this MCP server?
- MCP bridge to Apache Iceberg table operations and metadata
- PyPI package iceberg-mcp-server (v0.1.37) with stdio transport
- Enables agent-assisted SQL, catalog, and table management workflows
- Targets builders on lakehouse stacks rather than only OLTP Postgres
- Fits data products needing versioned tables and time travel semantics
- Server version 0.1.37
- PyPI identifier iceberg-mcp-server with stdio transport
- Protocol: Model Context Protocol over stdio
What problem does it solve?
Working with Iceberg catalogs and tables from an agent usually means manual SQL clients and scattered docs instead of structured tools.
Who is it for?
Indie builders or small data teams already on Iceberg who want agent-assisted table and pipeline work in Claude Code or Cursor.
Skip if: Simple mobile or marketing sites with no analytics warehouse or Iceberg deployment.
What do I get? / Deliverables
Your agent can invoke Iceberg-aware MCP tools to explore and manage tables aligned with your lakehouse setup.
- Agent-driven Iceberg table and metadata operations
- Faster iteration on lakehouse-backed features
- Documented MCP tool surface for data tasks
Recommended MCP Servers
Journey fit
How it compares
MCP integration for Apache Iceberg, not a managed cloud warehouse console.
Common Questions / FAQ
Who is Iceberg MCP Server for?
Builders using Apache Iceberg in their stack who want MCP tools for catalog and table tasks from a coding agent.
When should I use Iceberg MCP Server?
Use it during backend build when Iceberg is your table format and you want agent-driven exploration or changes against your catalog.
How do I add Iceberg MCP Server to my agent?
Install iceberg-mcp-server from PyPI, configure stdio MCP in your agent, and provide connection details for your Iceberg catalog and storage.