MCP Iceberg Service

What is mcp-iceberg-service

mcp-iceberg-service is an advanced server implementation designed by the company ahodroj to enable seamless interaction with Apache Iceberg. This server employs the Model Context Protocol (MCP) to provide a SQL interface that facilitates the querying and management of Iceberg tables directly from the Claude desktop environment. By leveraging the MCP, AI assistants like Claude can securely connect with various data sources and tools, ensuring efficient data management and real-time information access without compromising security. This service is particularly valuable for users seeking to harness the power of Iceberg as their data lake catalog with a simplified and intuitive interface.

How to Use mcp-iceberg-service

To get started with mcp-iceberg-service on the Claude desktop, follow these steps:

1. Prerequisites: Ensure you have Python 3.10 or higher installed, along with the UV package installer or pip. You'll also need access to an Iceberg REST catalog and S3-compatible storage.

2. Installation:

   • Add the configuration details to the claude_desktop_config.json file. This setup includes specifying the command and arguments necessary to run the server, as well as environmental variables for catalog and storage access.
   • Use the following structure in your configuration file:

   {
     "mcpServers": {
       "iceberg": {
         "command": "uv",
         "args": [
           "--directory",
           "PATH_TO_/mcp-iceberg-service",
           "run",
           "mcp-server-iceberg"
         ],
         "env": {
           "ICEBERG_CATALOG_URI" : "http://localhost:8181",
           "ICEBERG_WAREHOUSE" : "YOUR ICEBERG WAREHOUSE NAME",
           "S3_ENDPOINT" : "OPTIONAL IF USING S3",
           "AWS_ACCESS_KEY_ID" : "YOUR S3 ACCESS KEY",
           "AWS_SECRET_ACCESS_KEY" : "YOUR S3 SECRET KEY"
         }
       }
     }
   }
   

With this configuration, the server can be launched, enabling Claude to interact with your Iceberg tables efficiently.

Key Features of mcp-iceberg-service

Architecture:

• MCP Protocol Handler: Facilitates communication between Claude and the server using the Model Context Protocol. It manages the entire request/response lifecycle and server initialization.

• Query Processor: Leverages SQL parsing capabilities to perform various operations such as listing tables, describing tables, and executing SELECT and INSERT commands.

• Iceberg Integration: Utilizes pyiceberg for comprehensive table operations and integrates with PyArrow to enhance data handling efficiency. It manages catalog connections and performs table operations seamlessly.

PyIceberg Integration:

• Catalog Management: Efficiently manages connections to REST catalogs, handles metadata, and supports namespace operations.

• Data Operations: Converts between PyIceberg and PyArrow data types, ensuring smooth data insertion and management of table schemas and field types.

• Query Execution: Translates SQL commands into PyIceberg operations, effectively handling data scanning, filtering, and result set conversion.

Future Enhancements:

• Plans to implement more complex query operations such as UPDATE, DELETE, and CREATE TABLE with schema definitions.
• Support for advanced data types and performance improvements, including parallel scans and caching.
• Enhanced security features and monitoring capabilities to provide robust data management solutions.

The mcp-iceberg-service offers a powerful, user-friendly solution for managing Apache Iceberg tables, making it an essential tool for users looking to optimize their data lake operations through Claude desktop.