About Cloudera Iceberg
Cloudera Iceberg is an MCP server published by cloudera in the Developer Tools category: mCP server for Apache Iceberg Java API documentation, source lookup, and optional REST Catalog operations.
The repository has 13 stars and 16 forks, with the last commit a year ago. 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/cloudera/iceberg-mcp-serverThis 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.
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Security checks
Static checks derived from the repository 7 days ago. Heuristics on the source, not an audit.
- ✓README presentThe repository ships documentation.
- ✓License declaredUsable under a stated license.
- !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
- ✓Dependencies pinnedA lockfile pins dependency versions.
- ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
- !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.
README
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.
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.
README fetched from the repository 7 days ago. The original is authoritative.