About Iceberg MCP
Iceberg MCP is an MCP server published by fastmcp-me in the Developer Tools category: mCP server for Apache Iceberg.
Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/fastmcp-me/iceberg-mcpThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
Tools (5)
get_iceberg_tablesGets all tables for a given namespace
Parameters not published.
get_namespacesGets all namespaces in the Apache Iceberg™ catalog
Parameters not published.
get_table_partitionsGets all partitions for a given table
Parameters not published.
get_table_propertiesReturns table properties for a given table, like total size and record count
Parameters not published.
get_table_schemaReturns the schema for a given table
Parameters not published.
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README
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
- 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
uvpackage manager - install viabrew install uvor 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": "<aws-profile-name>"
}
}
}
}
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": "<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-1by 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™ 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
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_eventstable?" - "Generate an SQL query that calculates the sum and the p95 of all number columns in
raw_metricsfor all VIP users fromusers_info" - "Why did the queries on
raw_eventsrecently 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.
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.