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Spark SQL

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

Database stdio pypi pypistdioaidancorrell
RUN IN TERMINAL
claude mcp add aidancorrell-spark-sql-mcp-server -- uvx spark-sql-mcp-server
ADD TO claude_desktop_config.json
{ "mcpServers": { "aidancorrell-spark-sql-mcp-server": { "command": "uvx", "args": ["spark-sql-mcp-server"] } } }
ADD TO .vscode/mcp.json
{ "mcpServers": { "aidancorrell-spark-sql-mcp-server": { "command": "uvx", "args": ["spark-sql-mcp-server"] } } }
ADD TO .cursor/mcp.json
{ "mcpServers": { "aidancorrell-spark-sql-mcp-server": { "command": "uvx", "args": ["spark-sql-mcp-server"] } } }

About This MCP Server

The spark-sql-mcp-server is a database tool that enables querying of Spark SQL clusters through Thrift or HiveServer2 protocols, allowing connections to various data processing systems including Spark, EMR, Hive, and Impala. This server facilitates interaction with these systems, providing a means to manage and analyze data stored within them. Developers would use this tool when they need to integrate their applications with Spark SQL clusters or other compatible systems for data querying and analysis.

Query Spark SQL clusters via Thrift/HiveServer2. Works with Spark, EMR, Hive, Impala.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with database capabilities via the stdio transport.

Package

spark-sql-mcp-server on pypi

HOW TO USE

Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.

What tools does it provide?

The Spark SQL server extends your AI assistant with database capabilities. Once installed, your AI can use its tools automatically.

DETAILS
README BADGE
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