Iceberg MCP
I

Iceberg MCP

IcebergMCP is a service based on the Model Context Protocol (MCP) that allows users to interact with the Apache Iceberg data lake through natural language and supports use in MCP clients such as Claude and Cursor.
2.5 points
6.8K

What is IcebergMCP?

IcebergMCP is a Model Context Protocol (MCP) server that allows you to query and manage data in the Apache Iceberg™ data lake using natural language through AI assistants such as Claude and Cursor.

How to use IcebergMCP?

Simply install and configure IcebergMCP in a supported AI client, and you can query the table structure, partition information, and statistical indicators in the data lake through a conversational approach.

Applicable scenarios

Suitable for non-technical users such as data analysts and business personnel to quickly understand the content of the data lake, or for developers to write data query and analysis code with AI assistance.

Main features

Natural language query
Query the data lake structure and metadata using everyday language instead of SQL
Multi-client support
Compatible with multiple AI clients that support the MCP protocol, such as Claude and Cursor
Data lake exploration
View metadata such as namespaces, table structures, partition information, and table attributes
Advantages
Explore the data lake without writing complex SQL
Lower the data access threshold for non-technical users
Seamlessly integrate with mainstream AI assistants
Limitations
Currently only supports read operations and cannot modify data
Currently only compatible with the AWS Glue catalog
Requires pre-configured AWS access permissions

How to use

Install the uv package manager
Install using brew install uv or follow the official guide
Configure the AI client
Add the MCP server configuration in the settings of Claude or Cursor
Set AWS credentials
Ensure that the AWS credentials for accessing the Iceberg catalog are configured on the machine

Usage examples

Explore the data lake structure
Quickly understand what tables and namespaces are in the data lake
Analyze the table structure
Understand what fields a specific table contains and their data types
Generate an analysis query
Automatically generate an SQL query based on a natural language description

Frequently Asked Questions

Can IcebergMCP modify my data?
Which Iceberg catalogs are supported?
What permissions are required?

Related resources

Apache Iceberg official website
The official website of the Apache Iceberg project
Model Context Protocol
MCP protocol specification documentation
GitHub repository
Project source code and issue tracking

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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