S

Spark SQL

MCP server · by aidancorrell

Databases Python v0.1.2

Query Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.

View source ↗ More servers

Install

Run one of the commands below, then add the client config underneath.

Pythonuvx spark-sql-mcp-server

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers{
  "mcpServers": {
    "spark-sql-mcp-server": {
      "command": "uvx",
      "args": [
        "spark-sql-mcp-server"
      ]
    }
  }
}

About this server

Spark SQL is listed in the Databases category of the MCPNav directory. It is distributed as Python and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Spark SQL MCP server?

Spark SQL is an MCP server by aidancorrell. Query Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.

How do I install Spark SQL?

Install it with: uvx spark-sql-mcp-server. Then add the JSON config to your client's MCP settings and restart the client.

Is Spark SQL free to use?

The MCP server itself is free to install. The source is public on https://github.com/aidancorrell/spark-sql-mcp-server. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Spark SQL?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.