Iceberg MCP Server

@ryft-io

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

ryft-io

提交者

yguy-ryft

关于 Iceberg MCP Server

IcebergMCP is an MCP server that lets you interact with your Apache Iceberg Lakehouse using natural language in Claude, Cursor, or any other MCP client.

#iceberg#lakehouse#mcp #data-integration

Iceberg MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "iceberg-mcp": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "iceberg-mcp",
        "iceberg-mcp"
      ],
      "env": {
        "ICEBERG_MCP_PROFILE": "<aws-profile-name>"
      }
    }
  }
}

Iceberg MCP Server 工具

Gets all namespaces in the Iceberg catalog

Gets all tables for a given namespace

Returns the schema for a given table

Returns table properties for a given table, like total size and record count

Gets all partitions for a given table

概览

What is Iceberg MCP?

Iceberg MCP is a Model Context Protocol (MCP) server that lets you interact with an Apache Iceberg Lakehouse using natural language in Claude, Cursor, or any other MCP client. It connects to a catalog managed in AWS Glue and exposes table metadata as read-only tools.

How to use Iceberg MCP?

Install the uv package manager, then configure the server in your MCP client (Claude, Cursor) by adding a JSON entry with the command uv run --with iceberg-mcp iceberg-mcp and the environment variable ICEBERG_MCP_PROFILE set to your AWS profile name. Optionally set ICEBERG_MCP_REGION (default us-east-1).

Key features of Iceberg MCP

List all namespaces in the Iceberg catalog
List all tables for a given namespace
Return the schema for a specific table
Show table properties like total size and record count
Get all partitions for a given table

Use cases of Iceberg MCP

Discover namespaces and tables in your lakehouse by asking in natural language
Quickly inspect a table’s schema or partition layout
Retrieve table size and row counts without writing SQL
Generate SQL queries based on table metadata (e.g., aggregations on numeric columns)
Diagnose performance changes (e.g., “Why did queries on raw_events become slower?”)

常见问题

What catalogs does Iceberg MCP support?

Currently only AWS Glue. Iceberg REST Catalog support is coming soon.

Can Iceberg MCP modify or delete data?

No. All tools are read-only and cannot modify or delete any data in your lakehouse.

What AWS configuration is required?

You need an AWS profile configured on the machine with access to the Glue catalog. Use the `ICEBERG_MCP_PROFILE` environment variable to specify the profile; `ICEBERG_MCP_REGION` defaults to `us-east-1`.

What dependencies does Iceberg MCP need?

The `uv` package manager must be installed. The server runs as a Python package via `uv run`.

Where does my data live?

Your data stays in your own AWS Glue catalog and object storage. The server only reads metadata; no data is sent to third parties.

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