Apache Spark MCP Server by CData

Created By

CDataSoftware7 months ago

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free [CData MCP Server for Apache Spark (beta)](https://www.cdata.com/download/download.aspx?sku=ESZK-V&type=beta).

# apache-spark

# mcp-server

Overview Content Tools Comments

Overview

What is Apache Spark MCP Server?

Apache Spark MCP Server is a read-only server that allows large language models (LLMs) to query live data from Apache Spark using natural language, without the need for SQL.

How to use Apache Spark MCP Server?

To use the server, clone the repository, build it, install the CData JDBC Driver, configure your connection, and run the server. You can then interact with it through an AI client like Claude Desktop.

Key features of Apache Spark MCP Server?

Provides a read-only interface for querying Apache Spark data.
Allows natural language queries without SQL.
Supports various data sources through the CData JDBC Driver.

Use cases of Apache Spark MCP Server?

Querying live data from Apache Spark for analytics.
Integrating with AI clients for natural language data access.
Simplifying data retrieval for non-technical users.

FAQ from Apache Spark MCP Server?

Can I write data using this server?

No, this server is read-only. For write capabilities, consider the full CData MCP Server.

Is there a trial version available?

Yes, a beta version of the full server with read/write capabilities is available for free.

What data sources are supported?

The server supports a wide range of data sources, including Salesforce, SQL databases, and more.

Server Config

{
  "mcpServers": {
    "{classname_dash}": {
      "command": "PATH\\TO\\java.exe",
      "args": [
        "-jar",
        "PATH\\TO\\CDataMCP-jar-with-dependencies.jar",
        "PATH\\TO\\apache-spark.prp"
      ]
    }
  }
}

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