ai-spark-mcp-server

ai-spark-mcp-server

3.4
developer_toolscloud_platforms

If you are the rightful owner of ai-spark-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Spark MCP Optimizer is a project that implements a Model Context Protocol (MCP) server and client for optimizing Apache Spark code.

The Spark MCP Optimizer is designed to enhance the performance of Apache Spark code by providing intelligent optimization suggestions and performance analysis. It operates through a client-server architecture where the client submits PySpark code for optimization, and the server processes this request using Claude AI for analysis and optimization. The system generates optimized code and a detailed performance analysis report, allowing users to compare execution times and improvements. The architecture leverages the Model Context Protocol to standardize interactions with AI models, ensuring efficient and effective code optimization.

Features

  • Intelligent Code Optimization: Leverages Claude AI to analyze and optimize PySpark code.
  • Performance Analysis: Provides detailed analysis of performance differences between original and optimized code.
  • MCP Architecture: Implements the Model Context Protocol for standardized AI model interactions.
  • Easy Integration: Simple client interface for code optimization requests.
  • Code Generation: Automatically saves optimized code to separate files.

Tools

  1. optimize_spark_code

    Optimizes PySpark code for better performance.

  2. analyze_performance

    Analyzes performance differences between original and optimized code.

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