# iceberg-mcp-server **Repository Path**: mirrors_cloudera/iceberg-mcp-server ## Basic Information - **Project Name**: iceberg-mcp-server - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-06-05 - **Last Updated**: 2025-12-13 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## 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) ```json { "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) ```json { "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.*