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Cloudera Iceberg MCP Server (via Impala)

@peterableda

代码仓库

基本信息

分类

其他

许可证

Apache-2.0 license

传输方式

stdio

作者

peterableda

关于 Cloudera Iceberg MCP Server

Cloudera Iceberg MCP Server via Impala

Cloudera Iceberg MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "iceberg-mcp-server": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/iceberg-mcp-server",
        "run",
        "server.py"
      ],
      "env": {
        "IMPALA_HOST": "coordinator-default-impala.example.com",
        "IMPALA_PORT": "443",
        "IMPALA_USER": "username",
        "IMPALA_PASSWORD": "password",
        "IMPALA_DATABASE": "default"
      }
    }
  }
}

Cloudera Iceberg MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Cloudera Iceberg MCP Server (via Impala)?

A Model Context Protocol server that provides read-only access to Iceberg tables via Apache Impala. It enables LLMs to inspect database schemas and execute read-only SQL queries.

How to use Cloudera Iceberg MCP Server (via Impala)?

Configure it in Claude Desktop as an MCP server by adding a JSON entry to claude_desktop_config.json with uv run server.py and environment variables (IMPALA_HOST, IMPALA_PORT, IMPALA_USER, IMPALA_PASSWORD, IMPALA_DATABASE). Example integrations for LangChain/LangGraph and OpenAI SDK are included in the ./examples folder.

Key features of Cloudera Iceberg MCP Server (via Impala)

  • execute_query: Run any SQL query on Impala and return results as JSON.
  • get_schema: List all tables available in the current database.
  • Read‑only access to Iceberg tables.
  • Designed for LLM integration (Claude Desktop, LangChain, OpenAI SDK).
  • Uses Impala as the query engine.

Use cases of Cloudera Iceberg MCP Server (via Impala)

  • Allow an LLM to discover table schemas in an Iceberg data lake.
  • Query Iceberg tables with natural language through an LLM agent.
  • Integrate read‑only SQL access into AI‑powered data analysis workflows.
  • Validate data or run ad‑hoc analytics without granting write permissions.

常见问题

1

What data sources does this server work with?

It works with any Iceberg table that is accessible via an Apache Impala cluster. You must provide the Impala host, port, credentials, and a target database.

2

Is the server read‑only?

Yes. The server only exposes `execute_query` (any SQL) and `get_schema`; the README explicitly states it provides “read‑only access to Iceberg tables.”

3

What runtime does the server require?

The server is distributed as a Python script and launched with `uv`. It requires Python and the `uv` package manager installed on the machine running the MCP host (e.g., Claude Desktop).

4

How do I authenticate to Impala?

Authentication is done via environment variables: `IMPALA_USER` and `IMPALA_PASSWORD`. The server does not support other authentication methods as described in the README.

5

Are there example integrations available?

Yes, the `./examples` folder contains examples for integrating with LangChain/LangGraph and the OpenAI SDK.

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