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
- 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
-
Inside Claude, go to Settings > Developer > Edit Config > claude_desktop_config.json
-
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": ""
}
}
}
}
Cursor
-
Inside Cursor, go to Settings -> Cursor Settings -> MCP -> Add new global MCP server
-
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": ""
}
}
}
}
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:
- "List all namespaces in my catalog"
- "List all tables for the namespace called
bronze"
- "What are all the string columns in the table
raw_events?
- "What is the size of the
raw_events table?"
- "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"
- "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.