MCP Server LogoMCP Server
MCPsカテゴリディレクトリ投稿する
投稿する
MCPsカテゴリディレクトリ投稿する
投稿する

MCPサーバー

MCPサーバーのリスト、Awesome MCPサーバーとClaude MCP統合を含む。AIの能力を強化するためのMCPサーバーを検索して発見します。

お問い合わせ

[email protected]

MCPサーバーについて

プライバシーポリシー利用規約

リソース

モデルコンテキストプロトコルMCPスターターガイドClaude MCPサーバー

コミュニティ

GitHub

© 2025 mcpserver.cc © 2025 MCPサーバー. 全著作権所有.

プライバシーポリシー利用規約
  1. Home
  2. /Categories
  3. /Data & Storage
  4. /Iceberg Mcp
Iceberg Mcp

Iceberg Mcp

作成者 ryft-io•2 months ago
サイトを訪問する

Data & Storage
iceberglakehouseMCP

Iceberg Logo

IcebergMCP 🚀

AI-native Lakehouse Integration

IcebergMCP is a Model Context Protocol (MCP) server that lets you interact with your Apache Iceberg™ Lakehouse using natural language in Claude, Cursor, or any other MCP client.

Table of Contents

  • Installation
    • Prerequisites
    • Claude
    • Cursor
  • Configuration
  • Available Tools
  • Examples
  • Limitations & Security Considerations
  • Contributing

Installation

Prerequisites

  • Apache Iceberg™ catalog managed in AWS Glue
  • AWS profile configured on the machine, with access to the catalog
  • uv package manager - install via brew install uv or see official installation guide

Claude

  1. Inside Claude, go to Settings > Developer > Edit Config > claude_desktop_config.json

  2. Add the following:

{
  "mcpServers": {
    "iceberg-mcp": {
      "command": "uv", // If uv can't be found, replace with full absolute path to uv
      "args": [
        "run",
        "--with",
        "iceberg-mcp",
        "iceberg-mcp"
      ],
      "env": {
        "ICEBERG_MCP_PROFILE": "<aws-profile-name>"
      }
    }
  }
}

Cursor

  1. Inside Cursor, go to Settings -> Cursor Settings -> MCP -> Add new global MCP server

  2. Add the following:

{
  "mcpServers": {
    "iceberg-mcp": {
      "command": "uv", // If uv can't be found, replace with full absolute path to uv
      "args": [
        "run",
        "--with",
        "iceberg-mcp",
        "iceberg-mcp"
      ],
      "env": {
        "ICEBERG_MCP_PROFILE": "<aws-profile-name>"
      }
    }
  }
}

Configuration

Environment variables can be used to configure the AWS connection:

  • ICEBERG_MCP_PROFILE - The AWS profile name to use. This role will be assumed and used to connect to the catalog and the object storage. If not specified, the default role will be used.
  • ICEBERG_MCP_REGION - The AWS region to use. This is used to determine the catalog and object storage location. us-east-1 by default.

Available Tools

The server provides the following tools for interacting with your Apache Iceberg™ tables:

  • get_namespaces: Gets all namespaces in the Apache Iceberg™ catalog
  • get_iceberg_tables: Gets all tables for a given namespace
  • get_table_schema: Returns the schema for a given table
  • get_table_properties: Returns table properties for a given table, like total size and record count
  • get_table_partitions: Gets all partitions for a given table

Examples

Once installed and configured, you can start interacting with your Apache Iceberg™ tables through your MCP client. Here are some simple examples of how to interact with your lakehouse:

  1. “List all namespaces in my catalog”
  2. “List all tables for the namespace called bronze”
  3. "What are all the string columns in the table raw_events?
  4. “What is the size of the raw_events table?”
  5. “Generate an SQL query that calculates the sum and the p95 of all number columns in raw_metrics for all VIP users from users_info”
  6. “Why did the queries on raw_events recently become much slower?”

Limitations & Security Considerations

  • All tools are currently read-only and cannot modify or delete data from your lakehouse
  • Currently supported catalogs:
    • AWS Glue
    • Apache Iceberg™ REST Catalog (coming soon!)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

前提条件

  • •サーバーのドメインに精通している
  • •関連技術の基本的な理解
  • •Data & Storageの知識

おすすめのサーバー

Mcp

Mcp

Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.

Terraform Mcp Server

Terraform Mcp Server

Terraform Registry MCP Server

Logseq Mcp

Logseq Mcp

simple logseq mcp server

もっと見る → →

詳細

作成日

June 12, 2025

最終更新日

June 12, 2025

カテゴリー

Data & Storage

作成者

ryft-io

シェアする

もっと見る

Python_mcp

Python_mcp

MCP Server to run python code locally

Sourcesyncai Mcp

Sourcesyncai Mcp

Mcp 3d Printer Server

Mcp 3d Printer Server

Connects MCP to major 3D printer APIs (Orca, Bambu, OctoPrint, Klipper, Duet, Repetier, Prusa, Creality). Control prints, monitor status, and perform advanced STL operations like scaling, rotation, sectional editing, and base extension. Includes slicing and visualization.

Systemprompt Mcp Interview

Systemprompt Mcp Interview

A specialized Model Context Protocol (MCP) server that enables AI-powered interview roleplay scenarios