广告合作
MCP.so
登录

Spark MCP (MCP) Optimizer

@vgiri2015

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

vgiri2015

关于 Spark MCP (MCP) Optimizer

暂无概览

Spark MCP (MCP) Optimizer 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ai-spark-mcp-server": {
      "command": "python",
      "args": [
        "v1/run_server.py"
      ]
    }
  }
}

Spark MCP (MCP) Optimizer 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 Spark MCP (Model Context Protocol) Optimizer?

Spark MCP (Model Context Protocol) Optimizer is an MCP server and client that optimizes Apache Spark code by integrating Claude AI for intelligent code suggestions and performance analysis. It is designed for developers who want to improve PySpark code efficiency through a standardized protocol.

How to use Spark MCP (Model Context Protocol) Optimizer?

Install dependencies (pip install -r requirements.txt), place your PySpark code in input/spark_code_input.py, start the server with python v1/run_server.py, then run the client with python v1/run_client.py. Optionally run python v1/run_optimized.py to execute and compare original and optimized code.

Key features of Spark MCP (Model Context Protocol) Optimizer

  • Intelligent PySpark code optimization using Claude AI
  • Detailed performance analysis of original vs. optimized code
  • Implements Model Context Protocol for standardized AI interactions
  • Simple client interface for code optimization requests
  • Automatically saves optimized code and analysis reports

Use cases of Spark MCP (Model Context Protocol) Optimizer

  • Optimize existing PySpark jobs for better performance
  • Analyze and compare execution metrics of Spark code
  • Automate code review and improvement workflows
  • Integrate AI-driven optimization into CI/CD pipelines
  • Learn Spark best practices through generated optimization comments

常见问题

1

What is the Model Context Protocol (MCP) and why is it used?

MCP is a standardized protocol for AI model interactions, providing pre-built client libraries, automatic validation, result persistence, and context-aware optimization. Compared to direct Claude AI calls, it reduces custom integration and manual handling.

2

What are the requirements to run Spark MCP (Model Context Protocol) Optimizer?

Python 3.8+, PySpark 3.2.0+, and an Anthropic API Key for Claude AI.

3

What files are generated after optimization?

The server outputs `output/optimized_spark_example.py` (optimized code with comments) and `output/performance_analysis.md` (detailed performance comparison). Running `run_optimized.py` updates the analysis with execution metrics.

4

How does the optimization workflow work?

The user submits PySpark code, the MCP client sends it to the server, which uses Claude AI to analyze and generate optimizations. The optimized code is then validated against the PySpark runtime, and a performance analysis is produced.

5

Where does the data live during optimization?

Input code is read from `input/spark_code_input.py`; output files are written to the `output/` directory. The Claude AI analysis is performed via the Anthropic API, and the PySpark runtime executes locally.

评论

其他 分类下的更多 MCP 服务器

Screenpipe

screenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

22.0K

ICSS

chokcoco

不止于 CSS

20.7K

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

DeepMark

DeepMark helps teachers deliver rapid, consistent marking with meaningful feedback for every student — in a fraction of the time. What once took a week, now takes one free period.

N

Next Generation Movers: free moving quotes (remote MCP)

Next Generation Movers

Free moving quotes for AI agents from Next Generation Movers, a licensed interstate mover (USDOT 3764697). US long-distance nationwide and local DC/MD/VA. Indicative ballpark price and booking options; optional $0.01 x40

广告合作