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Iceberg MCP Server

@ryft-io

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基本情報

カテゴリ

その他

トランスポート

stdio

作者

ryft-io

投稿者

yguy-ryft

Iceberg MCP Server について

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 の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Iceberg MCP Server のツール

5

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

概要

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?”)

よくある質問

1

What catalogs does Iceberg MCP support?

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

2

Can Iceberg MCP modify or delete data?

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

3

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`.

4

What dependencies does Iceberg MCP need?

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

5

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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