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Iceberg MCP Server

The Cloudera Iceberg MCP Server is a model context protocol server that provides read-only access to Iceberg tables through Impala, supporting LLMs to inspect database schemas and execute read-only queries.
2 points
11

What is the Iceberg MCP Server?

The Iceberg MCP Server is a model context protocol server that provides read-only access to Iceberg tables through Apache Impala. It allows language models (LLMs) to inspect database schemas and execute secure read-only queries.

How to use the Iceberg MCP Server?

You can use this service through the Claude Desktop application or by directly integrating with an AI framework. You need to configure the Impala connection parameters and start the service.

Use cases

Suitable for scenarios where AI models need secure access to enterprise data warehouses, such as read-only operations like data analysis, report generation, and data exploration.

Key features

SQL query executionSupports executing any read-only SQL query and returning results in JSON format
Schema inspectionCan list all tables and their structures in the current database
Impala integrationAchieves efficient queries on Iceberg tables through the Impala engine

Advantages and limitations

Advantages
Provides secure read-only data access to protect enterprise data
Standardized interface for easy integration with various AI frameworks
Leverages Impala's high-performance query capabilities
Limitations
Only supports read-only operations and cannot modify data
Requires pre - configuration of Impala connection information
Currently only supports the Iceberg table format

How to use

Install dependencies
Ensure that Python and the necessary dependency packages are installed
Configure connection parameters
Set the Impala host, port, authentication information, and target database
Start the service
Run the server using uvicorn
Integrate into Claude Desktop
Add the MCP server configuration to claude_desktop_config.json

Usage examples

Data analysis queryLet the AI model help analyze sales data trends
Data explorationExplore the database structure and available tables

Frequently Asked Questions

What permissions are required to use this service?
Which SQL syntaxes are supported?
Is there a limit to the size of query results?

Related resources

Apache Iceberg documentation
Official documentation for the Iceberg table format
Impala official guide
Apache Impala usage guide
GitHub repository
Project source code and examples
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "iceberg-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/iceberg-mcp-server",
        "run",
        "server.py"
      ],
      "env": {
        "IMPALA_HOST": "coordinator-default-impala.example.com",
        "IMPALA_PORT": "443",
        "IMPALA_USER": "username",
        "IMPALA_PASSWORD": "password",
        "IMPALA_DATABASE": "default"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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