Cloudera Iceberg MCP Server
Provides read-only access to Iceberg tables via Apache Impala, enabling schema inspection and SQL query execution on Cloudera data warehouses.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Cloudera Iceberg MCP Servershow me the schema for the sales_data table"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Cloudera Iceberg MCP Server (via Impala)
This is a A Model Context Protocol server that provides read-only access to Iceberg tables via Apache Impala. This server enables LLMs to inspect database schemas and execute read-only queries.
execute_query(query: str): Run any SQL query on Impala and return the results as JSON.get_schema(): List all tables available in the current database.
Usage with Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:
Option 1: Direct installation from GitHub (Recommended)
{
"mcpServers": {
"iceberg-mcp-server": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/cloudera/iceberg-mcp-server@main",
"run-server"
],
"env": {
"IMPALA_HOST": "coordinator-default-impala.example.com",
"IMPALA_PORT": "443",
"IMPALA_USER": "username",
"IMPALA_PASSWORD": "password",
"IMPALA_DATABASE": "default"
}
}
}
}Option 2: Local installation (after cloning the repository)
{
"mcpServers": {
"iceberg-mcp-server": {
"command": "uv",
"args": [
"--directory",
"/path/to/iceberg-mcp-server",
"run",
"src/iceberg_mcp_server/server.py"
],
"env": {
"IMPALA_HOST": "coordinator-default-impala.example.com",
"IMPALA_PORT": "443",
"IMPALA_USER": "username",
"IMPALA_PASSWORD": "password",
"IMPALA_DATABASE": "default"
}
}
}
}For Option 2, replace /path/to with your path to this repository. Set the environment variables according to your Impala configuration.
Related MCP server: iceberg-mcp-server-hive
Usage with AI frameworks
The ./examples folder contains several examples how to integrate this MCP Server with common AI Frameworks like LangChain/LangGraph, OpenAI SDK.
Transport
The MCP server's transport protocol is configurable via the MCP_TRANSPORT environment variable. Supported values:
stdio(default) — communicate over standard input/output. Useful for local tools, command-line scripts, and integrations with clients like Claude Desktop.http- expose an HTTP server. Useful for web-based deployments, microservices, exposing MCP over a network.sse— use Server-Sent Events (SSE) transport. Useful for existing web-based deployments that rely on SSE.
Copyright (c) 2025 - Cloudera, Inc. All rights reserved.
This server cannot be deployed
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