Apache Spark

v1.0.0Data Science & MLstable

Apache Spark MCP Server by CData

apache-spark-mcp-server-by-cdatamcpai-integration
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What is Apache Spark?

Apache Spark is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to apache spark mcp server by cdata

Apache Spark MCP Server by CData

This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Apache Spark MCP Server by CData

Use Cases

Access and utilize Apache Spark distributed computing framework.
CDataSoftware

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx apache-spark-mcp-server-by-cdata

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about Apache Spark

What is Apache Spark?

Apache Spark is a Model Context Protocol (MCP) server that apache spark mcp server by cdata It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Apache Spark?

Follow the installation instructions on the Apache Spark GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Apache Spark?

Apache Spark works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Apache Spark free to use?

Yes, Apache Spark is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Data Science & ML MCP Servers

Explore all data science & ml servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "apache-spark-mcp-server-by-cdata": { "command": "npx", "args": ["-y", "apache-spark-mcp-server-by-cdata"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use Apache Spark?

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