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.
IcebergMCP.mp4
- Installation
- Configuration
- Available Tools
- Examples
- Limitations & Security Considerations
- Contributing
- Iceberg catalog managed in AWS Glue
- AWS profile configured on the machine, with access to the catalog
uv
package manager - install viabrew install uv
or see official installation guide
-
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": "<aws-profile-name>"
}
}
}
}
-
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": "<aws-profile-name>"
}
}
}
}
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.
The server provides the following tools for interacting with your Iceberg tables:
get_namespaces
: Gets all namespaces in the Iceberg catalogget_iceberg_tables
: Gets all tables for a given namespaceget_table_schema
: Returns the schema for a given tableget_table_properties
: Returns table properties for a given table, like total size and record countget_table_partitions
: Gets all partitions for a given table
Once installed and configured, you can start interacting with your 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 fromusers_info
" - "Why did the queries on
raw_events
recently become much slower?"
- All tools are currently read-only and cannot modify or delete data from your lakehouse
- Currently supported catalogs:
- AWS Glue
- Iceberg REST Catalog (coming soon!)
Contributions are welcome! Please feel free to submit a Pull Request.